A Range-Doppler-Angle Estimation Method for Passive Bistatic Radar

TL;DR

This paper introduces a novel target detection and localization approach for passive bistatic radar using a non-cooperative FM radio source, employing beamforming, a modified cancellation algorithm, and LS-based estimation for improved accuracy.

Contribution

It proposes a new disturbance cancellation and parameter estimation method tailored for antenna array-based passive radar systems, enhancing detection performance.

Findings

Superiority of the MECA disturbance cancellation demonstrated in simulations

Effective range-Doppler and angle estimation achieved

Method applicable to systems with multiple surveillance antennas

Abstract

In this paper, an effective target detection and localization method is proposed for a passive bistatic radar (PBR) system. The PBR system consists of a commercial FM radio station, which is a non-cooperative illuminator of opportunity (IO), referred to as the transmitter antenna and multiple surveillance antennas that form an antenna array, e.g., uniform linear array (ULA). Unlike other literatures where the reference signal is received by a directional antenna, here, the reference signal (direct path) is estimated by beamforming method. Then a modified extensive cancellation algorithm (MECA) based on (least squares) LS method is proposed to solve the disturbance cancellation. After cancelling the disturbance, the matched filter (MF) and LS methods are used for range-Doppler estimation of targets, and then the angles of targets are estimated based on beamforming method. The proposed method is suitable for an antenna array. Simulation results are presented to illustrate the superiority of the proposed MECA disturbance cancellation method and parameter estimation method.