Title :
Adaptive waveform for integrated detection and identification of moving extended target
Author :
Jo-Yen Nieh ; Romero, Ric A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA, USA
Abstract :
We propose an improvement to the maximum a posteriori probability weighted eigenwaveform (MAP-PWE) adaptive waveform design used in target recognition with a cognitive radar platform for which we call match-filtered PWE (MF-PWE). Our interest however is to include moving targets in the identification problem. Combining range-Doppler map (RDM) technique with the the PWE-based adaptive waveform techniques, we propose an integrated detection and identification scheme for moving extended targets. Target detection performance comparison between wideband, MAP-PWE, and MF-PWE techniques are shown. It is noted the MF-PWE performs better than the wideband and MAP-PWE.
Keywords :
Doppler shift; adaptive signal detection; matched filters; maximum likelihood estimation; object detection; probability; radar detection; radar target recognition; MAP-PWE adaptive waveform design; MF-PWE; RDM technique; cognitive radar platform; integrated detection; match-filtered PWE; maximum a posteriori probability weighted eigenwaveform; moving extended target identification; range-Doppler map technique; target recognition; Convolution; Correlation; Doppler effect; Eigenvalues and eigenfunctions; Noise; Radar; Wideband; ambiguity function; cognitive radar; eigenwaveform; range resolution; waveform design;
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
DOI :
10.1109/ACSSC.2014.7094707
