Title :
Waveform Design for Multistatic Radar Detection
Author_Institution :
Univ. of Rhode Island, RI, USA
fDate :
7/1/2009 12:00:00 AM
Abstract :
We derive the optimal Neyman-Pearson (NP) detector and its performance, and then present a methodology for the design of the transmit signal for a multistatic radar receiver. The detector assumes a Swerling I extended target model as well as signal-dependent noise, i.e., clutter. It is shown that the NP detection performance does not immediately lead to an obvious signal design criterion so that as an alternative, a divergence criterion is proposed for signal design. A simple method for maximizing the divergence, termed the maximum marginal allocation algorithm, is presented and is guaranteed to find the global maximum. The overall approach is a generalization of previous work that determined the optimal detector and transmit signal for a monostatic radar.
Keywords :
radar detection; radar receivers; radar signal processing; radar target recognition; waveform analysis; NP detection performance; Neyman-Pearson detector; Swerling I extended target model; monostatic radar; multistatic radar detection; multistatic radar receiver; optimal detector; signal-dependent noise; transmit signal; waveform design; Clutter; Covariance matrix; Detectors; Frequency; MIMO; Radar detection; Signal design; Signal detection; Sonar; Transmitters;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2009.5259190