Information divergence-based low probability of intercept waveform detection for multi-antenna intercept receivers

Abstract

Based on the asymptotic spectral distribution of sample covariance matrix, a new low probability of interception (LPI) signal detection method for multi-antenna intercept receiver is proposed via reforming the noise sequence into a Wishart matrix. The authors deduce the asymptotic cumulative distribution function (CDF) of eigenvalues of sample covariance matrix. Also a numerical Kullback–Leibler divergence of the empirical spectral CDF based on test samples from the deduced asymptotic CDF is established, which is treated as the test statistic. By comparing with other signal detection methods, simulation results show the new LPI signal detection method is superior and robust.

Keywords

• eigenvalues and eigenfunctions
• radar signal processing
• signal detection
• covariance matrices
• statistical distributions
• antenna arrays
• radar receivers
• radar antennas
• asymptotic cumulative distribution function
• noise sequence
• low probability of interception signal detection method
• low probability of intercept waveform detection
• lpi signal detection method
• deduced asymptotic cdf
• empirical spectral cdf
• numerical kullback–leibler divergence
• wishart matrix
• sample covariance matrix
• asymptotic spectral distribution
• multiantenna intercept receiver