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. (C) 2020 China Ordnance Society. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co.