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Refining Inaccurate Transmitter and Receiver Positions Using Calibration Targets for Target Localization in Multi-Static Passive Radar

机译:使用校准目标细化不精确的发射器和接收器位置以在多静态无源雷达中进行目标定位

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摘要

Transmitter and receiver position errors have been known to significantly deteriorate target localization accuracy in a multi-static passive radar (MPR) system. This paper explores the use of calibration targets, whose positions are known to the MPR system, to counter the loss in target localization accuracy arising from transmitter/receiver position errors. This paper firstly evaluates the Cramér–Rao lower bound (CRLB) for bistatic range (BR)-based target localization with calibration targets, which analytically indicates the potential of calibration targets in enhancing localization accuracy. After that, this paper proposes a novel closed-form solution, which includes two steps: calibration step and localization step. Firstly, the calibration step is devoted to refine the inaccurate transmitter and receiver locations using the BR measurements from the calibration targets, and then in the calibration step, the target localization can be accurately achieved by using the refined transmitter/receiver positions and the BR measurements from the unknown target. Theoretical analysis and simulation results indicate that the proposed method can attain the CRLB at moderate measurement noise level, and exhibits the superiority of localization accuracy over existing algorithms.
机译:在多静态无源雷达(MPR)系统中,已知发射器和接收器的位置误差会显着降低目标定位精度。本文探讨了MPR系统已知位置的校准目标的使用,以应对由于发射器/接收器位置误差而导致的目标定位精度的损失。本文首先评估具有校准目标的基于双静态范围(BR)的目标定位的Cramér-Rao下界(CRLB),从分析上表明了校准目标在提高定位精度方面的潜力。之后,本文提出了一种新颖的封闭形式的解决方案,它包括两个步骤:校准步骤和定位步骤。首先,校准步骤专用于使用来自校准目标的BR测量来完善不准确的发射器和接收器位置,然后在校准步骤中,可以通过使用经过改进的发射器/接收器位置和BR测量来精确地实现目标定位来自未知目标。理论分析和仿真结果表明,该方法可以在中等测量噪声水平下获得CRLB,与现有算法相比具有定位精度的优势。

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