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Everything about Ambiguity function
Function of propagation delay and Doppler frequency
In pulsed radar and sonar signal processing, an ambiguity function is a two-dimensional function of propagation delay and Doppler frequency, . It represents the distortion of a returned pulse due to the receiver matched filter of the return from a moving target. The ambiguity function is defined by the properties of the pulse and of the filter, and not any particular target scenario. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Ambiguity functionA 5-minute orientation
- Skim a recent paper: Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and CommunicationsInfluential work since 2022
- Pick up a classic book: Structural ambiguity in EnglishThe most-reprinted book on the subject
- Read the landmark paper: Algorithms for ambiguity function processingCited 404 times
- Go sideways: Bilinear time–frequency distributionA closely related topic
- Go sideways: Choi–Williams distribution functionA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Algorithms for ambiguity function processing
The communicative function of ambiguity in language
Ambiguity function for a bistatic radar
Ambiguity function in Fourier optics*
Delay-Doppler Ambiguity Function for Wideband Signals
Wideband ambiguity function of broadband signals
Ambiguity Function and Wigner Distribution Function Applied to Partially Coherent Imagery
Teager energy and the ambiguity function
🆕 Influential since 2022
Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Unimodular Sequence and Receiving Filter Design for Local Ambiguity Function Shaping
Pulse Shaping for Random ISAC Signals: The Ambiguity Function Between Symbols Matters
Sensing-Secure ISAC: Ambiguity Function Engineering for Impairing Unauthorized Sensing
Scaled ambiguity function and scaled Wigner distribution for LCT signals
📚 Books worth reading
- 📕Structural ambiguity in EnglishDallin D. Oaks · 2010
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Bilinear time–frequency distribution Bilinear time–frequency distributions, or quadratic time–frequency distributions, arise in a sub-field of signal analysis and signal processing called…
- Choi–Williams distribution function The Choi–Williams distribution function is a quadratic time-frequency representation belonging to Cohen's class. Introduced by H.-I. Choi and W. J. Williams…
- Cyclostationary process A cyclostationary process is a signal having statistical properties that vary cyclically with time. A cyclostationary process can be viewed as multiple…
- Gabor–Wigner transform The Gabor transform, named after Dennis Gabor, and the Wigner distribution function, named after Eugene Wigner, are both tools for time-frequency analysis…
- Nachbin's theorem In mathematics, in the area of complex analysis, Nachbin's theorem (named after Leopoldo Nachbin) is a result used to establish bounds on the growth rates…
- Cone-shape distribution function The cone-shape distribution function, also called the Zhao–Atlas–Marks distribution or ZAM distribution, is a quadratic time-frequency representation in…
- Modified Wigner distribution function Note: the Wigner distribution function is abbreviated here as WD rather than WDF as used at Wigner distribution function A Modified Wigner distribution…
- Time–frequency analysis In signal processing, time–frequency analysis comprises those techniques that study a signal in both the time and frequency domains simultaneously, using…