一种认知 MTD 雷达脉间编码设计方法

摘要

Cognitive moving target detection(MTD)radar system changes its transmission according to time-varying clutter environment,so as to improve the signal-clutter-and-noise ratio (SCNR).Aiming at the problem of MTD radar transmit code design in the presence of signal-dependent clutter,we study MTD radar model based on pulse coding in slow-time domain and discuss the feasibility of SCNR improvement.The in-ter-pulse code optimization design criteria for improving SCNR is proposed and a simplified method of optimi-zation problems is presented.Considering the cone constrained quadratic programming(CCQP)problem,an algorithm for optimizing the code based on reduced gradient is given.The simulation results show that slow-time domain coding can effectively improve SCNR and the algorithm has the characteristics of small computa-tional complexity and good real-time performance.%认知动目标检测(MTD)雷达系统根据时变的杂波环境改变发射,从而改善回波的信杂噪比(SCNR)。针对在信号相关杂波中 MTD 雷达的发射设计问题,研究了基于慢时间域脉冲编码的 MTD 雷达模型,讨论了 SCNR 改善的可行性；提出了用于 SCNR 改善的脉间编码优化设计准则,给出了优化问题的简化方法,并针对锥约束下的二次型规划(CCQP)问题提出了一种基于简约梯度法的编码设计方法。仿真结果表明,慢时间域编码优化能够有效改善回波的 SCNR,且该算法具有运算量小和实时性能好的特点。