Cramer-Rao Lower Bounds for Joint Target Parameter Estimation in FM-Based Distributed PassiveRadar Network with Antenna Arrays

摘要

To avoid the disadvantages of the active radar which utilizes its own transmitter to emit electromagnetic radiations, passive radars use the signals readily available in the environment and can provide superior capabilities of stealth target detection, low probability of intercept, low cost, and robustness. This paper investigates the joint target parameter (delay and Doppler) estimation performance for a frequency modulation (FM)-based distributed passive radar network (DPRN) system with antenna arrays. The DPRN system consists of multiple FM-based illuminators of opportunity and multiple radar receivers, which are placed on moving platforms. First, we consider the scenario where the target state parameters are unknown, the maximum likelihood estimator is developed, and the log-likelihood ratio of the received signal for a complex Gaussian extended target is derived. Then, the Cramer-Rao lower bounds (CRLBs) on the Cartesian coordinates of target position and velocity are computed for a DPRN system with M-T FM-based transmitters of Q antenna elements and M-R multichannel receivers of P antenna elements. Finally, numerical examples demonstrate that grouping the receiving antenna elements into properly sized arrays can reduce estimation errors. It is also shown that the joint CRLB is a function of signal-to-noise ratio, the number of receiving antenna elements, the properties of the transmitted FM waveform, and the relative geometry between the target and the DPRN architecture. The analytically closed-form expressions for CRLB are an important performance metric in that they enable the optimal placement of radar receivers to improve the target parameter estimation performance.