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A chirp is a signal in which the frequency increases (up-chirp) or decreases (down-chirp) with time. In some sources, the term chirp is used interchangeably with sweep signal. It is commonly used in sonar, radar, and laser, but has other applications, such as in spread-spectrum communications.
In spread-spectrum usage, surface acoustic wave (SAW) devices are often used to generate and demodulate the chirped signals. In optics, ultrashort laser pulses also exhibit chirp, which, in optical transmission systems, interacts with the dispersion properties of the materials, increasing or decreasing total pulse dispersion as the signal propagates. The name is a reference to the chirping sound made by birds; see bird vocalization.
If a waveform is defined as:
then the instantaneous angular frequency, ω, is defined as the phase rate as given by the first derivative of phase, with the instantaneous ordinary frequency, f, being its normalized version:
Finally, the instantaneous angular chirpyness, γ, is defined to be the second derivative of instantaneous phase or the first derivative of instantaneous angular frequency, with the instantaneous ordinary chirpyness, c, being its normalized version:
Thus chirpyness is the rate of change of the instantaneous frequency.
In a linear-frequency chirp or simply linear chirp, the instantaneous frequency varies exactly linearly with time:
where is the starting frequency (at time ), and is the chirpyness, assumed constant:
where is the final frequency; is the time it takes to sweep from to .
The corresponding time-domain function for the phase of any oscillating signal is the integral of the frequency function, as one expects the phase to grow like , i.e., that the derivative of the phase is the angular frequency .
For the linear chirp, this results in:
where is the initial phase (at time ). Thus this is also called a quadratic-phase signal.
The corresponding time-domain function for a sinusoidal linear chirp is the sine of the phase in radians:
In a geometric chirp, also called an exponential chirp, the frequency of the signal varies with a geometric relationship over time. In other words, if two points in the waveform are chosen, and , and the time interval between them is kept constant, the frequency ratio will also be constant.
In an exponential chirp, the frequency of the signal varies exponentially as a function of time:
where is the starting frequency (at ), and is the rate of exponential change in frequency. Unlike the linear chirp, which has a constant chirpyness, an exponential chirp has an exponentially increasing frequency rate.
The corresponding time-domain function for the phase of an exponential chirp is the integral of the frequency:
where is the initial phase (at ).
The corresponding time-domain function for a sinusoidal exponential chirp is the sine of the phase in radians:
A chirp signal can be generated with analog circuitry via a voltage-controlled oscillator (VCO), and a linearly or exponentially ramping control voltage. It can also be generated digitally by a digital signal processor (DSP) and digital to analog converter (DAC), using a direct digital synthesizer (DDS) and by varying the step in the numerically controlled oscillator. It can also be generated by a YIG oscillator.[clarification needed]
Relation to an impulse signalEdit
A chirp signal shares the same spectral content with an impulse signal. However, unlike in the impulse signal, spectral components of the chirp signal have different phases, i.e., their power spectra are alike but the phase spectra are distinct. Dispersion of a signal propagation medium may result in unintentional conversion of impulse signals into chirps. On the other hand, many practical applications, such as chirped pulse amplifiers or echolocation systems, use chirp signals instead of impulses because of their inherently lower PAPR.
Uses and occurrencesEdit
Chirp modulation, or linear frequency modulation for digital communication, was patented by Sidney Darlington in 1954 with significant later work performed by Winkler in 1962. This type of modulation employs sinusoidal waveforms whose instantaneous frequency increases or decreases linearly over time. These waveforms are commonly referred to as linear chirps or simply chirps.
Hence the rate at which their frequency changes is called the chirp rate. In binary chirp modulation, binary data is transmitted by mapping the bits into chirps of opposite chirp rates. For instance, over one bit period "1" is assigned a chirp with positive rate a and "0" a chirp with negative rate −a. Chirps have been heavily used in radar applications and as a result advanced sources for transmission and matched filters for reception of linear chirps are available.
Another kind of chirp is the projective chirp, of the form:
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This "see also" section may contain an excessive number of suggestions. Please ensure that only the most relevant links are given, that they are not red links, and that any links are not already in this article. (November 2015) (Learn how and when to remove this template message)
- Chirp spectrum - Analysis of the frequency spectrum of chirp signals
- Chirp compression - Further information on compression techniques
- Chirp spread spectrum - A part of the wireless telecommunications standard IEEE 802.15.4a CSS (see Chirp Spread Spectrum (CSS) PHY Presentation for IEEE P802.15.4a).
- Chirped mirror
- Chirped pulse amplification
- Chirplet transform - A signal representation based on a family of localized chirp functions, each member of which can usually be expressed as parameterized transformations of each other.
- Continuous-wave radar
- Dispersion (optics)
- Pulse compression - A signal processing technique designed to maximize the sensitivity and resolution of radar systems by modifying transmitted pulses to improve their auto-correlation properties. One way of accomplishing this is to chirp the RADAR signal (also known as chirp radar).
- Radio propagation - measure radio propagation with Chirp-modulated transmitters
- Weisstein, Eric W. "Sweep Signal". From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/SweepSignal.html
- Mann, Steve and Haykin, Simon; The Chirplet Transform: A generalization of Gabor's Logon Transform; Vision Interface '91.
- Easton, R.L. (2010). Fourier Methods in Imaging. Wiley. p. 703. ISBN 9781119991861. Retrieved 2014-12-03.
- "Chirped pulses". setiathome.berkeley.edu. Retrieved 2014-12-03.
- Easton, R.L. (2010). Fourier Methods in Imaging. Wiley. p. 700. ISBN 9781119991861. Retrieved 2014-12-03.
- "Chirp Signals". dspguide.com. Retrieved 2014-12-03.
- The Beginner's Handbook of Amateur Radio By Clay Laster