Band-stop filter

Last updated
A generic ideal band-stop filter, showing both positive and negative angular frequencies Ideal Band Stop Filter Transfer Function.svg
A generic ideal band-stop filter, showing both positive and negative angular frequencies

In signal processing, a band-stop filter or band-rejection filter is a filter that passes most frequencies unaltered, but attenuates those in a specific range to very low levels. [1] It is the opposite of a band-pass filter . A notch filter is a band-stop filter with a narrow stopband (high Q factor).

Contents

Narrow notch filters (optical) are used in Raman spectroscopy, live sound reproduction (public address systems, or PA systems) and in instrument amplifiers (especially amplifiers or preamplifiers for acoustic instruments such as acoustic guitar, mandolin, bass instrument amplifier, etc.) to reduce or prevent audio feedback, while having little noticeable effect on the rest of the frequency spectrum (electronic or software filters). Other names include "band limit filter", "T-notch filter", "band-elimination filter", and "band-reject filter".

Typically, the width of the stopband is 1 to 2 decades (that is, the highest frequency attenuated is 10 to 100 times the lowest frequency attenuated). However, in the audio band, a notch filter has high and low frequencies that may be only semitones apart. From the figure of the frequency response of an ideal band-stop filter, it's obvious that the band-stop filter is simply an inverted band-pass filter where they share same definition of bandwidth, pass band, stop band and center frequency. The attenuation should be infinite in the stop band and be zero in the two pass bands for an ideal band-stop filter. Band-stop filters are designed by the combination of a low-pass filter and a high-pass filter in a parallel configuration. Overlapping does not occur in the summation of high-pass filter and low-pass filter during the design of band-stop filter. The difference in the starting and ending frequency points causes the two filters to connect effectively without any overlapping.

Generic electrical schematic of a simple band-stop filter Band-Reject Filter.svg
Generic electrical schematic of a simple band-stop filter

Mathematical description

Band-stop filter can be represented as a combination of low-pass and high-pass filters if the bandwidth is wide enough that the two filters do not interact too much. A more general approach is to design as a low-pass prototype filter which can then be transformed into a bandstop. The simple notch filter shown can be directly analysed. The transfer function is,

Here is zero circular frequency and is the pole circular frequency. Zero frequency is the cutoff frequency and sets the type of the notch filter: standard notch when , low-pass notch () and high-pass notch () filters. denotes the Q-factor. [2]

For standard notch filter the formulation can be rewritten as

where is the central rejected frequency and is the width of the rejected band.

Examples

In the audio domain

Anti-hum filter

For countries using 60  Hz power lines:

This means that the filter passes all frequencies, except for the range of 59–61 Hz. This would be used to filter out the mains hum from the 60 Hz power line, though its higher harmonics could still be present.

For countries where power transmission is at 50 Hz, the filter would have a 49–51 Hz range.

In the radio-frequency (RF) domain

Non-linearities of power amplifiers

When measuring the non-linearities of power amplifiers, a very narrow notch filter can be very useful to avoid the carrier frequency. Use of the filter may ensure that the maximum input power of a spectrum analyser used to detect spurious content will not be exceeded.

Wave trap

A notch filter, usually a simple LC circuit, is used to remove a specific interfering frequency. This is a technique used with radio receivers that are so close to a transmitter that it swamps all other signals. The wave trap is used to remove or greatly reduce the signal from the nearby transmitter. [3]

Software-defined radio

Most affordable software-defined radios (SDR) on the market today suffer from limited dynamic and operating ranges. In other words, in real-world operating environments, a SDR can easily be saturated by a strong signal. In particular FM broadcast signals are very strong and nearly everywhere. These signals can prevent a SDR from processing other weak signals. FM notch filters are very useful for SDR applications and have increased in their popularity.

Optical filtering (wavelength selection)

In optics, there are several methods of filtering selected wavelengths from a source or to a detector. They rely on scattering or destructive interference.

Filtering by scattering and diffraction

A diffraction grating [4] or a dispersive prism may be used to selectively redirect selected wavelengths of light within an optical system.

In the case of transmission gratings and prisms, polychromatic light that passes through the object will be redirected according to wavelength. A slit may then be used to select wavelengths that are desired. A reflective grating may also be utilized for the same purpose, though in this case light is reflected rather than transmitted. Filters of this design may be high-pass, band-pass, or low-pass, depending on system configuration.

Filtering by interference

When using optics with real materials, light will be attenuated at various wavelengths through interference with the medium through which the light traversed. In this sense, material selection may be utilized to selectively filter light according to the wavelengths that are minimally attenuated. To some extent, all real optical systems will suffer from this phenomenon.

Alternatively, it is also possible to use an oscillating reflecting surface to cause destructive interference with reflected light along a single optical path. This principle is the basis for a Michelson interferometer.

Band-stop smoothing filter

Smoothing filter is essential in many fields, such as signal and image processing, computer vision, statistics, stated by Roonizi (2021). [5] Algorithms such as quadratic variation regularization and smoothness priors are the most common way to perform signal denoising. These algorithms are implemented to band-stop smoothing filters and being investigated by Roonizi (2021). [5] A naive band-stop smoothing filter is raised, which is constructed by connecting a high-pass smoothing filter and a low-pass smoothing filter. These two smoothing filter sections are configured in parallel way. Moreover, it was suggested that positive noise correlation promises to obtain the best band-stop smoothing filter.

Telecommunications

The development of telecommunications applications raises the demand of radio frequency and microwave filters, stated by Haddi (2019). [6] Those filters are commonly used in PA systems (Public Address Systems) and speaker systems to produce audio with great quality. Microwave filters have high flexibility of actualization and low cost. The band-stop filter in the telecommunications field, has a respectable place which it is essential for microwave transceivers. For example, wireless communication systems make use of band-stop filters to achieve the requirement of miniaturization.

Microstrip Band-stop Filter

Microstrip-line band-stop filter is convenient to implement with low cost and light weight. Hsieh & Wang (2005) stated that, conventional microstrip band-stop filters are made of shunt open-circuited resonators. [7] They usually has the characteristic of having narrow stopband. However, alternating the band-stop filter to have a wide stop band response with specific design can bring huge advantage over the conventional band-stop filters.

The advantages of the microstrip band-stop filter designed by Hsieh & Wang (2005) is its compact size and easy implementation. This improved band-stop filter with wide stop-band has additional amount of transmission zeros. The purpose of this design is to combine a shunt open-circuited quarter-wavelength resonator with one section of quarter-wavelength frequency-selecting coupling structure, stated by Hsieh & Wang (2005). As a result, a simple structured band-stop filter with easy implementation can bring advantages of lower-order resonators, great stop band performance when compared to conventional microstrip band-stop filters.

See also

Related Research Articles

<span class="mw-page-title-main">Cutoff frequency</span> Frequency response boundary

In physics and electrical engineering, a cutoff frequency, corner frequency, or break frequency is a boundary in a system's frequency response at which energy flowing through the system begins to be reduced rather than passing through.

A low-pass filter is a filter that passes signals with a frequency lower than a selected cutoff frequency and attenuates signals with frequencies higher than the cutoff frequency. The exact frequency response of the filter depends on the filter design. The filter is sometimes called a high-cut filter, or treble-cut filter in audio applications. A low-pass filter is the complement of a high-pass filter.

<span class="mw-page-title-main">High-pass filter</span> Type of electronic circuit or optical filter

A high-pass filter (HPF) is an electronic filter that passes signals with a frequency higher than a certain cutoff frequency and attenuates signals with frequencies lower than the cutoff frequency. The amount of attenuation for each frequency depends on the filter design. A high-pass filter is usually modeled as a linear time-invariant system. It is sometimes called a low-cut filter or bass-cut filter in the context of audio engineering. High-pass filters have many uses, such as blocking DC from circuitry sensitive to non-zero average voltages or radio frequency devices. They can also be used in conjunction with a low-pass filter to produce a band-pass filter.

Chebyshev filters are analog or digital filters that have a steeper roll-off than Butterworth filters, and have either passband ripple or stopband ripple. Chebyshev filters have the property that they minimize the error between the idealized and the actual filter characteristic over the operating frequency range of the filter, but they achieve this with ripples in the passband. This type of filter is named after Pafnuty Chebyshev because its mathematical characteristics are derived from Chebyshev polynomials. Type I Chebyshev filters are usually referred to as "Chebyshev filters", while type II filters are usually called "inverse Chebyshev filters". Because of the passband ripple inherent in Chebyshev filters, filters with a smoother response in the passband but a more irregular response in the stopband are preferred for certain applications.

<span class="mw-page-title-main">Audio filter</span> Frequency dependent circuit

An audio filter is a frequency dependent circuit, working in the audio frequency range, 0 Hz to 20 kHz. Audio filters can amplify (boost), pass or attenuate (cut) some frequency ranges. Many types of filters exist for different audio applications including hi-fi stereo systems, musical synthesizers, effects units, sound reinforcement systems, instrument amplifiers and virtual reality systems.

The Sallen–Key topology is an electronic filter topology used to implement second-order active filters that is particularly valued for its simplicity. It is a degenerate form of a voltage-controlled voltage-source (VCVS) filter topology. It was introduced by R. P. Sallen and E. L. Key of MIT Lincoln Laboratory in 1955.

<span class="mw-page-title-main">Butterworth filter</span> Type of signal processing filter

The Butterworth filter is a type of signal processing filter designed to have a frequency response that is as flat as possible in the passband. It is also referred to as a maximally flat magnitude filter. It was first described in 1930 by the British engineer and physicist Stephen Butterworth in his paper entitled "On the Theory of Filter Amplifiers".

<span class="mw-page-title-main">Electronic filter</span> Electronic device

Electronic filters are a type of signal processing filter in the form of electrical circuits. This article covers those filters consisting of lumped electronic components, as opposed to distributed-element filters. That is, using components and interconnections that, in analysis, can be considered to exist at a single point. These components can be in discrete packages or part of an integrated circuit.

<span class="mw-page-title-main">Transition band</span>

The transition band, also called the skirt, is a range of frequencies that allows a transition between a passband and a stopband of a signal processing filter. The transition band is defined by a passband and a stopband cutoff frequency or corner frequency.

The spurline is a type of radio-frequency and microwave distributed element filter with band-stop (notch) characteristics, most commonly used with microstrip transmission lines. Spurlines usually exhibit moderate to narrow-band rejection, at about 10% around the central frequency.

<span class="mw-page-title-main">Electronic filter topology</span> Electronic filter circuits defined by component connection

Electronic filter topology defines electronic filter circuits without taking note of the values of the components used but only the manner in which those components are connected.

<span class="mw-page-title-main">Zobel network</span>

Zobel networks are a type of filter section based on the image-impedance design principle. They are named after Otto Zobel of Bell Labs, who published a much-referenced paper on image filters in 1923. The distinguishing feature of Zobel networks is that the input impedance is fixed in the design independently of the transfer function. This characteristic is achieved at the expense of a much higher component count compared to other types of filter sections. The impedance would normally be specified to be constant and purely resistive. For this reason, Zobel networks are also known as constant resistance networks. However, any impedance achievable with discrete components is possible.

Radio frequency (RF) and microwave filters represent a class of electronic filter, designed to operate on signals in the megahertz to gigahertz frequency ranges. This frequency range is the range used by most broadcast radio, television, wireless communication, and thus most RF and microwave devices will include some kind of filtering on the signals transmitted or received. Such filters are commonly used as building blocks for duplexers and diplexers to combine or separate multiple frequency bands.

m-derived filters or m-type filters are a type of electronic filter designed using the image method. They were invented by Otto Zobel in the early 1920s. This filter type was originally intended for use with telephone multiplexing and was an improvement on the existing constant k type filter. The main problem being addressed was the need to achieve a better match of the filter into the terminating impedances. In general, all filters designed by the image method fail to give an exact match, but the m-type filter is a big improvement with suitable choice of the parameter m. The m-type filter section has a further advantage in that there is a rapid transition from the cut-off frequency of the passband to a pole of attenuation just inside the stopband. Despite these advantages, there is a drawback with m-type filters; at frequencies past the pole of attenuation, the response starts to rise again, and m-types have poor stopband rejection. For this reason, filters designed using m-type sections are often designed as composite filters with a mixture of k-type and m-type sections and different values of m at different points to get the optimum performance from both types.

A composite image filter is an electronic filter consisting of multiple image filter sections of two or more different types.

In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Filtering is a class of signal processing, the defining feature of filters being the complete or partial suppression of some aspect of the signal. Most often, this means removing some frequencies or frequency bands. However, filters do not exclusively act in the frequency domain; especially in the field of image processing many other targets for filtering exist. Correlations can be removed for certain frequency components and not for others without having to act in the frequency domain. Filters are widely used in electronics and telecommunication, in radio, television, audio recording, radar, control systems, music synthesis, image processing, computer graphics, and structural dynamics.

<span class="mw-page-title-main">Distributed-element filter</span> Type of electronic filter circuit

A distributed-element filter is an electronic filter in which capacitance, inductance, and resistance are not localised in discrete capacitors, inductors, and resistors as they are in conventional filters. Its purpose is to allow a range of signal frequencies to pass, but to block others. Conventional filters are constructed from inductors and capacitors, and the circuits so built are described by the lumped element model, which considers each element to be "lumped together" at one place. That model is conceptually simple, but it becomes increasingly unreliable as the frequency of the signal increases, or equivalently as the wavelength decreases. The distributed-element model applies at all frequencies, and is used in transmission-line theory; many distributed-element components are made of short lengths of transmission line. In the distributed view of circuits, the elements are distributed along the length of conductors and are inextricably mixed together. The filter design is usually concerned only with inductance and capacitance, but because of this mixing of elements they cannot be treated as separate "lumped" capacitors and inductors. There is no precise frequency above which distributed element filters must be used but they are especially associated with the microwave band.

<span class="mw-page-title-main">Waveguide filter</span> Electronic filter that is constructed with waveguide technology

A waveguide filter is an electronic filter constructed with waveguide technology. Waveguides are hollow metal conduits inside which an electromagnetic wave may be transmitted. Filters are devices used to allow signals at some frequencies to pass, while others are rejected. Filters are a basic component of electronic engineering designs and have numerous applications. These include selection of signals and limitation of noise. Waveguide filters are most useful in the microwave band of frequencies, where they are a convenient size and have low loss. Examples of microwave filter use are found in satellite communications, telephone networks, and television broadcasting.

<span class="mw-page-title-main">Waffle-iron filter</span> Type of waveguide filter

A waffle-iron filter is a type of waveguide filter used at microwave frequencies for signal filtering. It is a variation of the corrugated-waveguide filter but with longitudinal slots cut through the corrugations resulting in an internal structure that has the appearance of a waffle-iron.

<span class="mw-page-title-main">Distributed-element circuit</span> Electrical circuits composed of lengths of transmission lines or other distributed components

Distributed-element circuits are electrical circuits composed of lengths of transmission lines or other distributed components. These circuits perform the same functions as conventional circuits composed of passive components, such as capacitors, inductors, and transformers. They are used mostly at microwave frequencies, where conventional components are difficult to implement.

References

  1. "Band-stop filter", Federal Standard 1037C, accessed 14 May 2018.
  2. "Chapter 8: Analog Filters". Basic Linear Design. USA: Analog Devices Inc. 2006.
  3. Carr, Joseph J. (2001). The technician's radio receiver handbook: Wireless and telecommunication technology, p. 282. Newnes. ISBN   0-7506-7319-2.
  4. Terracciano, Anthony (2018). "Hazardous Gas Detection Sensor Using Broadband Light-Emitting Diode-Based Absorption Spectroscopy for Space Applications". New Space. 6 (1): 28–36. Bibcode:2018NewSp...6...28T. doi:10.1089/space.2017.0044. OSTI   1435270.
  5. 1 2 Roonizi, Arman Kheirati; Jutten, Christian (2021). "Band-Stop Smoothing Filter Design". IEEE Transactions on Signal Processing. 69: 1797–1810. Bibcode:2021ITSP...69.1797R. doi:10.1109/TSP.2021.3060619. ISSN   1941-0476. S2CID   233137801.
  6. Haddi, Souhaila Ben; Zugari, Asmaa; Zakriti, Alia; Achraou, Soufiane (2020-01-01). "Design of a Band-Stop Planar Filter for Telecommunications Applications". Procedia Manufacturing. 46: 788–792. doi: 10.1016/j.promfg.2020.04.006 . ISSN   2351-9789. S2CID   219444573.
  7. Hsieh, Ming-Yu; Wang, Shih-Ming (July 2005). "Compact and wideband microstrip bandstop filter". IEEE Microwave and Wireless Components Letters. 15 (7): 472–474. doi:10.1109/LMWC.2005.851572. ISSN   1558-1764.