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

机译:无源双基地雷达的距离 - 多普勒角估计方法

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摘要

In this paper, an effective target detection and localization method isproposed for a passive bistatic radar (PBR) system. The PBR system consists ofa commercial FM radio station, which is a non-cooperative illuminator ofopportunity (IO), referred to as the transmitter antenna and multiplesurveillance antennas that form an antenna array, e.g., uniform linear array(ULA). Unlike other literatures where the reference signal is received by adirectional antenna, here, the reference signal (direct path) is estimated bybeamforming method. Then a modified extensive cancellation algorithm (MECA)based on (least squares) LS method is proposed to solve the disturbancecancellation. After cancelling the disturbance, the matched filter (MF) and LSmethods are used for range-Doppler estimation of targets, and then the anglesof targets are estimated based on beamforming method. The proposed method issuitable for an antenna array. Simulation results are presented to illustratethe superiority of the proposed MECA disturbance cancellation method andparameter estimation method.
机译:提出了一种无源双基地雷达系统的有效目标检测与定位方法。 PBR系统由商用FM广播电台组成,该电台是机会(IO)的非合作照明器,称为发射器天线和多个监视天线,形成天线阵列,例如均匀线性阵列(ULA)。与通过定向天线接收参考信号的其他文献不同,这里,参考信号(直接路径)是通过波束赋形方法估算的。然后提出了一种基于最小二乘最小二乘方法的改进的广泛抵消算法(MECA)来解决干扰消除问题。消除干扰后,将匹配滤波器(MF)和最小二乘法(LS)用于目标的距离多普勒估计,然后基于波束形成方法估计目标的角度。所提出的方法适用于天线阵列。仿真结果表明了所提出的MECA干扰消除方法和参数估计方法的优越性。

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