Bearing estimation of low probability of intercept sources via polynomial matrices and sparse linear arrays

Coventry, William and Clemente, Carmine and Soraghan, John and Cade, Neil (2021) Bearing estimation of low probability of intercept sources via polynomial matrices and sparse linear arrays. IET Radar Sonar and Navigation, 15 (11). pp. 1408-1419. ISSN 1751-8784 (https://doi.org/10.1049/rsn2.12133)

[thumbnail of Coventry-etal-RSN-2021-Bearing-estimation-of-low-probability-of-intercept-sources]
Preview
 Text. Filename: Coventry_etal_RSN_2021_Bearing_estimation_of_low_probability_of_intercept_sources.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

Abstract

Recent years have seen a steady convergence of Radar and Communications band Radio Frequency (RF) transceiver systems. Not only have Communications systems colonised large swathes of previously allocated Radar bands but there is also a convergence of technologies driven by the relatively low cost of software-defined transceivers and solid-sate RF sources. Thus, where conventional radar transmissions are characterised by short narrowband pulses with high peak power, new classes of 'pulse-compression' radar are being developed to exploit this new technology. The resulting Low Probability of Intercept waveforms are designed to spread energy in both time and frequency, yielding a very low instantaneous power spectral density. Methods to detect, analyse and distinguish such sources require longer acquisition periods to collect more energy from the sources. Here, a novel solution is provided for detection and separation based on direction-finding utilising polynomial matrix methods in conjunction with sparse array geometries. This approach provides enhanced detection, separation and direction finding while using relatively few antenna elements.

CORE (COnnecting REpositories)