基于参数估计的分布式外源雷达接收站位选择

Receiver selection in distributed passive radar system based on joint parameter estimation

分布式外源雷达(DPR)利用分置的多部接收站系统实施联合探测,可实现雷达系统性能的有效提升。如何高效配置系统接收站几何架构是分布式外源雷达研究的重要课题。推导了基于数字电视地面多媒体广播(DTMB)信号的分布式外源雷达系统目标位置和速度联合估计的克拉美罗界(CRB),以此为优化指标建立了接收站位选择模型,并给出与之匹配的接收站子集选择算法。与枚举法相比,本方法具有较低的计算复杂度,可实现接收站的最优子集选择。仿真验证了算法的有效性。

Distributed Passive Radar(DPR)using multiple radar systems to detect jointly,achieves an effective improvement on detection performance.Geometry optimization is one of the most important parts in distributed passive radar research.The Cramer-Rao Bound(CRB)of the joint estimation for target location and velocity in distributed passive radar is investigated,employing the Digital Television Terrestrial Multimedia Broadcasting(DTMB)signals as signals of opportunity.The CRB is used as performance metric to establish the receiver selection model,accordingly a precise receiver selection method is proposed,offering polynomial approximation strategies.The simulation results show the effectiveness of the proposed method.