Performance Evaluation of Two Multistatic Radar Detectors on Real and Simulated Sea-Clutter Data

Abstract

In this paper we evaluate the performance of two multistatic radar detection schemes on real and syntheticallygenerated sea clutter data. The analysis utilizes both monostatic and bistatic radar data, simultaneously collected by the nodes of the NetRAD system. The first contribution is a demonstration of how the evolved Doppler spectrum model can accurately simulate multistatic sea-clutter with statistical and spectral properties which match the real data. The second contribution is an analysis of the detection performance obtained from different bistatic angles and a demonstration that the results from both real and simulated data are comparable.

Time reversal detection in a multistatic radar system with a varying environment

“…- 15 approximately distributed as a Gaussian random variable with mean μ CO-LRT and variance Σ CO-LRT , where these statistics can be characterised as summations over Q frequencies, as follows:…”

“…In some cases, with the wide geometric separation between sensors, the target statistics can be regarded as independent from sensor to sensor [10,11]. However, in many practical situations, the scattering between different sensors may be correlated, for example, the micro-Doppler of human [12] and drone [13], and the clutter [14][15][16]. Nevertheless, multistatic radar still outperforms monostatic radar due to additional information [16,17].…”