基于相参积累的捷变频雷达系统相位误差估计与稀疏场景重构算法

针对系统相位误差导致的捷变频雷达目标回波信号相参积累性能下降问题, 构建了系统相位误差下捷变频雷达目标回波信号相参积累模型, 并基于目标的距离-速度二维稀疏性建立了最小?₁范数优化模型, 提出一种基于交替方向乘子法的系统相位误差估计与目标场景稀疏重构联合处理算法, 实现了系统相位误差和目标参数的精确估计。仿真结果表明, 在信噪比为20 dB的情况下, 该方法能够精确估计系统相位误差, 其估计误差在2°以内。同时，相比于逆合成孔径雷达相位自聚焦算法, 所提算法重构性能和计算效率均得到改善, 目标重构幅度均方差提高了10 dB, 运算时间减少到1/2。

System phase error estimation and sparse scene reconstruction algorithm of frequency agile radar based on coherent accumulation

Aiming at the problem of coherent accumulation performance degradation of target echo signal of frequency agile radar caused by system phase error, a coherent accumulation model of target echo signal of frequency agile radar under system phase error is constructed. Based on the range-velocity sparsity of the target, the minimum ?₁ norm optimization model is established, and a joint processing algorithm of system phase error estimation and target scene sparse reconstruction based on alternating direction multipliers method is proposed to realize the accurate estimation of system phase error and target parameters. The simulation results show that the proposed method can accurately estimate the phase error of the system when the signal to noise ratio is 20 dB, and the estimation error is within 2°. At the same time, compared with the inverse synthetic aperture radar phase autofocus algorithm, the reconstruction performance and computational efficiency of the proposed algorithm are improved, the mean square error of target reconstruction amplitude is increased by 10 dB, and the operation time is reduced to 1/2.