【摘要】 在多发射雷达系统中,为提高目标检测性能,需要提高系统输出信杂噪比。但由于发射机限制有恒定包络的约束,同时多发射系统中会有波形间正交性的要求。本文主要以集中式MIMO雷达系统为例,介绍在多发射认知雷达系统中的自适应时域波形优化算法。建立了正交和恒模约束的最大信杂噪比问题模型,利用半定松弛结合瑞利熵优化算法和随机化算法优化正交发射波形及接收滤波器,通过仿真验证该算法的有效性。更多还原

【Abstract】 In order to improve the performance of target detection in multi-transmit radar system,it is necessary to improve the output signal-to-clutter-pulse-noise( SCNR) ratio. However,due to the constrain of constant modulus of the waveforms,orthogonality between waveforms is required in multi-transmit systems. Taking centralized Multiple-Input Multiple-Output( MIMO) system as an example,this paper presents an adaptive time-domain waveform optimization algorithm for multi-transmit cognitive system.The maximum SCNR problem model with orthogonal and constant modulus constraints is established. The transmission waveforms and receiver filter are optimized by semi-definite relaxation( SDR) combined Rayleigh entropy algorithm and randomization algorithm,and the effectiveness of the algorithm is verified by simulation.更多还原