一种旋翼类飞机的架次分辨方法

A sortie identification method of rotorcraft

针对旋翼类飞机回波中数据缺失和微多普勒调制干扰的问题,提出了一种旋翼类飞机的架次分辨方法.该方法首先利用平滑l;范数重构算法(SL0)将稀疏回波重构成原始回波;然后利用复数经验模态分解(CEMD)方法对旋翼类飞机回波进行分解,从中分离出旋翼回波和机身回波;最后在多普勒域对机身回波进行处理,分辨出目标架次.仿真结果表明,该方法能够有效解决回波数据缺失问题及去除旋翼回波在多普勒域产生的干扰,有效提高常规预警雷达对旋翼目标的架次分辨能力.

Aiming at the problem of data loss and micro-Doppler modulation interference in rotorcraft echoes, this paper proposes a sortie identification method for rotorcraft. In this method, the sparse echo is first reconstructed into the original echo by using the smooth norm reconstruction algorithm(SL0), and then the complex empirical mode decomposition(CEMD) method is used to decompose rotorcraft echoes, from which the rotor echo and fuselage echo are separated. Finally, the fuselage echo is processed in Doppler domain to distinguish the target sorties. The simulation results show that this method can effectively solve the problem of echo data loss and remove the interference caused by rotor echoes in Doppler domain, and effectively improve the sortie identification ability of conventional early warning radar to rotor targets.