Reducing the noise variance in ensemble-averaged randomly scaled sonar or radar signals

ArticleinIEE Proceedings - Radar Sonar and Navigation 153(5):438 - 444 · November 2006with12 Reads
Impact Factor: 1.12 · DOI: 10.1049/ip-rsn:20050104 · Source: IEEE Xplore

    Abstract

    Ensemble-averaged randomly scaled radar or sonar pulses are considered and the statistical theory for the corresponding phase and amplitude modulations are developed. Random scaling expresses varying radar cross-sections for scattering objects or varying antenna gain of a sweeping emitter. The noise variance of the modulations depends on the distribution function of the scaling, and how to minimise the variance by rejecting pulses below a certain amplitude threshold is shown. The theory is asymptotic in the sense that it is more accurate for increasing signal-to-noise ratios (SNRs). In a test case with uniformly distributed scaling, sufficient accuracy is reached for an average SNR larger than ~5 for the phase average and ~15 for the amplitude average