Multiple order difference based radio frequency (RF) signal processing

Bing C. Li

doi:10.1117/12.2619066

27 May 2022 Multiple order difference based radio frequency (RF) signal processing

Bing C. Li

Proceedings Volume 12108, Radar Sensor Technology XXVI; 1210808 (2022) https://doi.org/10.1117/12.2619066
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Polynomial chirplet representation of a frequency modulation radio frequency (FMRF) signal has many applications in radar and electronic support measurement (ESM). Fast and reliable estimation of polynomial chirplet parameters is valuable for FMRF signal processing. Traditionally, two types of techniques are used to estimate phase polynomial parameters, polynomial chirplet transform and multiple order phase difference approaches. The polynomial chirplet transform approach is robust to noises, however computationally expensive while the difference approach is computationally efficient, but sensitive noises. In this paper, a new multiple order difference approach is introduced to estimate parameters of a polynomial chirplet. In this new approach, we first compute the highest order coefficient of the polynomial chirplet, then remove the highest order monomial term by a monomial pursuit approach. Repeating these two steps, we develop a difference accumulation and monomial pursuit approach for estimating parameters of polynomial chirplet. Simulation tests show that the proposed method is robust to noises and has a low computational cost.

Conference Presentation

Citation Download Citation

Bing C. Li "Multiple order difference based radio frequency (RF) signal processing", Proc. SPIE 12108, Radar Sensor Technology XXVI, 1210808 (27 May 2022); https://doi.org/10.1117/12.2619066

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