Title :
Adaptive radar detection of extended targets via signature diversity
Author :
Bandiera, F. ; Ricci, G. ; Tesauro, M.
Author_Institution :
Dipt. di Ingegneria dell´´Innovazione, Universita degli Studi di Lecce, Italy
Abstract :
The paper addresses adaptive detection of extended targets in Gaussian noise with unknown statistics. It is assumed that the radar can change the transmitted signal in azimuth. More precisely, it makes use of N N-dimensional signatures; the possible useful signal from each radar cell is a coherent pulse train while the disturbance is a Gaussian process, independent from cell to cell, but with the same (unknown) covariance matrix regardless of the illuminated one. Based on the above model, we propose an adaptive detector designed according to a two-step procedure. Its performance assessment and the comparison with a previously-proposed detector show that the proposed one can be a viable means to cope with uncertain scenarios.
Keywords :
Gaussian noise; adaptive signal detection; covariance matrices; radar detection; radar interference; radar resolution; Gaussian noise; adaptive detector; adaptive radar detection; extended targets; high resolution radar; interference covariance matrix; radar cell; signature diversity; Azimuth; Covariance matrix; Detectors; Gaussian noise; Radar detection; Radar imaging; Radar scattering; Radar signal processing; Signal processing; Testing;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197009