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An approach for parameter estimation of combined CPPM and LFM radar signal
Authors:Zhang Wei    Xiong Ying    Wang Pei    Wang Jun    Tang Bin
Affiliation:School of Electronic and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract:In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval (PRI) of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform (CHT) algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio (SNR) is less than ?4 dB, it can still estimate the intra-pulse parameters well. When SNR = ?3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples.
Keywords:Chaotic pulse position modulation  Combined radar signal  Cyclic autocorrelation  Electronic countermeasures  Hough transform  Linear frequency modulation  Volterra adaptive filter
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