Title :
A numerical waveform design approach to decorrelate target and noise
Author :
Bonneau, Robert J. ; Wicks, Michael C.
Author_Institution :
Radar Signal Process. Branch, Air Force Res. Lab., Rome, NY, USA
Abstract :
Traditional radar detection relies on predefined models for assessment of probability of detection and probability of false alarm. These models assume a target uncorrelated with clutter or other sources of interference. This assumption concerning decorrelation between the target and interference is not strictly true. We propose an iterative approach to design “optimal” waveforms that maximally decorrelate target and clutter returns while still keeping target signal-to-interference-plus-noise ratios (SINR) levels maximized
Keywords :
decorrelation; iterative methods; military radar; optimisation; radar clutter; radar detection; radar signal processing; radar theory; SINR maximization; clutter; iterative approach; numerical waveform design; optimal waveforms; radar detection; signal-to-interference-plus-noise ratios; target decorrelation; Chirp; Clutter; Decorrelation; Frequency; Interference; Iterative methods; Radar detection; Signal design; Testing; Working environment noise;
Conference_Titel :
Radar Conference, 2001. Proceedings of the 2001 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6707-3
DOI :
10.1109/NRC.2001.923021
