Research on monopulse forward-looking high-resolution imaging algorithm based on adaptive iteration

In this paper, we proposed a monopulse forward-looking high-resolution imaging algorithm based on adaptive iteration for missile-borne detector. Through iteration, the proposed algorithm automatically selects the echo signal of isolated strong-scattering points from the receiving echo signal data to accurately estimate the actual optimal monopulse response curve (MRC) of the same distance range, and we applied optimal MRC to realize the azimuth self-focusing in the process of imaging. We use real-time echo data to perform error correction for obtaining the optimal MRC, and the azimuth angulation accuracy may reach the optimum at a certain distance dimension. We experimentally demonstrate the validity, reliability and high performance of the proposed algorithm. The azimuth angulation accuracy may reach up to ten times of the detection beam-width. The simulation experiments have verified the feasibility of this strategy, with the average height measurement error being 7.8%. In the out-field unmanned aerial vehicle (UAV) tests, the height measurement error is less than 2.5 m, and the whole response time can satisfy the requirements of a missile-borne detector.     

针对窄脉冲雷达测角的相位干涉仪仿真研究

以Matlab／simulink为工具，对相位干涉仪快速准确获取窄脉冲目标雷达的角信息问题进行了仿真研究。研究表明，相位干涉仪快速、准确获取窄脉冲目标雷达角信息的基本能力主要取决于鉴相器中低通滤波器截止频率的设计，并给出了截止频率的设计公式。此外，还对读取相关信息的时机和方法等问题进行了研究，给出了相应的解决方案。