Adaptive waveform for integrated detection and identification of moving extended target

Abstract

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.

Integrated range-Doppler map and extended target identification with adaptive waveform for cognitive radar

“…The MF-PWE is first proposed in [7] where the constant and biased terms in (6) are removed to improve performance. In other words, it proposed f j|i (y) to be of the form…”

“…A simple integrated scheme for a single moving target identification and range-Doppler peak cell localization is proposed in [7]. It is our goal to expand and simultaneously identify multiple target types, determine how many targets in each type and correctly locate the ranges and Doppler shifts for multiple moving targets.…”

“…Target identification applications with adaptive waveforms in a cognitive radar platform are tackled in [4][5][6]. In [7], the authors proposed the problem of identifying a moving extended target while trying to locate its rangeDoppler location, i.e., the target RDM cell with the largest return. In this paper, we extend the problem for multiple moving extended targets.…”