Zhu, Z., Steven Kay and R. S. Raghavan. 2017 "Locally Optimal Radar Waveform Design for Detecting Doubly Spread Targets in Colored Noise" Preprints. https://doi.org/10.20944/preprints201712.0074.v1
Radar transmit signal design is a critical factor for the radar performance. In this paper, we investigate the problem of radar signal waveform design under the small signal power conditions for detecting a doubly spread target, whose impulse response can be modeled as a random process, in a colored noise environment. The doubly spread target spans multiple range bins (range-spread) and its impulse response is time-varying due to fluctuation (hence also Doppler-spread), such that the target impulse response is both time-selective and frequency-selective. Instead of adopting the conventional assumption that the target is wide-sense stationary uncorrelated scattering,we assume that the target impulse response is both wide-sense stationary in range and in time to account for the possible correlation between the impulse responses corresponding to close range intervals. The locally most powerful detector, which is asymptotically optimal for small signal cases, is then derived for detecting such targets. The signal waveform is optimized to maximizing the detection performance of the detector or equivalently maximizing the Kullback-Leibler divergence. Numerical simulations validate the effectiveness of the proposed waveform design for the small signal power conditions and performance of optimum waveform design are shown in comparison to the frequency modulated waveform.
radar; transmit signal waveform design; doubly spread; extended target; fluctuation; Kullback-Leibler divergence; locally most powerful detector; colored noise
Engineering, Electrical and Electronic Engineering
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