双基地FDA-MIMO雷达角度、距离及速度联合估计方法

在传统的相控阵雷达中，由于受到脉冲重复周期(PRF)的限制，距离估计精度和速度估计精度往往难以同时得到提高。该文将频控阵(FDA)和双基地多输入多输出(MIMO)雷达相结合，提出了一种基于双基地FDA-MIMO雷达的角度、距离及速度联合估计方法。由于采用了FDA技术，雷达的发射矢量中包含了目标的角度、距离甚至速度信息。考虑到发射矢量中距离-速度的耦合现象，该文提出了基于子阵的波形设计和相应的解耦合方法。然后利用ESPRIT算法和基于FDA的解模糊方法，对目标的发射角(DOD)、接收角(DOA)、距离和速度进行无模糊估计。另外，该文推导了该方法下参数估计的克拉美罗界(CRB)并分析了其性能。最后，仿真结果验证了所提出方法的能够对目标的角度、距离和速度进行无模糊的联合估计。

Joint Angle, Range and Velocity Estimation for bi-static FDA-MIMO Radar

It is known that there is a contradiction between range estimation and velocity estimation due to the influence of pulse repetition frequency (PRF) in traditional phased-array (PA) radar. In this paper, a joint unambiguous angle, range and velocity estimation method is proposed for bi-static multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA). Owing to the FDA, there is a little frequency increment between the arrays and the transmit steering matrix carries angle, range even velocity information. Consider the range-angle coupling in transmit steering matrix, a subarray-based transmitted waveform and decoupling approach are designed. Utilizing the ESPRIT algorithm and ambiguity resolve methods based on FDA, the direction-of-departure (DOD), direction-of-arrival (DOA), range and velocity parameters are estimated unambiguously. Additionally, Cramér-Rao bounds (CRB) for these parameters are derived and the performance of this radar is analyzed. Simulation results indicates the validity of the proposed method.