无数字时延滤波器的宽带大规模阵列雷达去斜算法

在宽带雷达接收机中，为了降低宽带信号采样对模数转换单元性能的要求，需对接收的宽带信号进行去斜处理。传统去斜处理算法需使用数字时延滤波器，具有设计复杂、成本高的缺点，因此不适合大规模阵列应用。为了解决此问题，提出一种无数字时延滤波器的去斜处理算法，通过频率和相位补偿，使各通道数据达到一致，从而省去数字时延滤波器，简化了系统的设计复杂度。结合子阵划分技术，减少处理通道数量，降低系统硬件成本与数据处理难度。同时，还分析了所提算法中回波时延估计误差的边界条件。仿真结果表明，相比传统算法，该算法输出信噪比更高，且对回波时延估计误差的敏感度更低。

A Stretch Processing Method without Digital Delay Filter for Large-Scale Broadband Array Radar

In a wideband radar receiver, in order to reduce the performance requirements of the analog-to-digital conversion unit for wideband signal sampling, a stretch processing method is required to debase the sampling signal bandwidth for the received broadband signal. Usually, conventional stretch processing algorithms contain a digital delay filter module. Whereas, it is not suitable for large-scale array radar due to its shortcomings of high complexity and expensive cost. To deal with this problem, this paper proposes a stretch processing algorithm without digital delay filter. Specifically, the proposed algorithm exploits frequency and phase compensation to replace the digital delay filter to ensure the consistency of the output of each channel, thereby significantly reducing the complexity of the system. Meanwhile, subarrays are leveraged to reduce the number of channels to be processed, which further reduces the complexity of the system. In addition, the proposed algorithm also equips with the ability to analyze the boundary conditions of the echo delay estimation error. Finally, simulation results show that the proposed algorithm can obtain a higher output signal-to-noise ratio compared with the conventional stretch processing methods, and is less sensitive to echo delay estimation errors.