机载雷达微弱目标帧间非相参积累与检测技术

Airborne Radar Weak Target Interframe Noncoherent Integration and Detection Method

微弱目标探测一直是机载雷达,尤其是机载预警雷达面临的重要挑战。针对这一问题提出一种目标帧间非相参积累和检测方法。首先,建立了机载雷达多帧信号采用不同载频和脉冲重复周期场景下的回波信号模型。其次,提出了一种运动目标帧间多普勒校正和距离单元走动补偿方法,使得经过处理后的目标在不同帧数据中位于相同待检测单元。然后,为了避免强目标解距离模糊引入的虚假目标,进行强目标检测和剔除。最后,利用距离周期扩展方法解距离模糊,并进行帧间非相参积累。经过提出方法处理后,微弱目标的检测性能得到提升。利用仿真试验验证了提出方法的有效性。

Weak target detection has always been an important challenge for airborne radar, especially for airborne early warning radar. A target interframe noncoherent integration and detection method is proposed in this paper. Firstly, the airborne radar signal model when multiple frames using different carried frequency and pulse repetition interval is build. Secondly, a method of the moving target Doppler correction and the range migration compensation is proposed, which makes the target after processing between different frames in the same cell to be detected. Then, to avoid the false targets introduced by resolving the range ambiguity of strong target, the detection and deletion of strong targets is applied.Finally,range cycle expansion is used to resolve range ambiguity, and interframe noncoherent integration is applied. After processing by the proposed method, the detection performance for weak target is improved. Simulation result is given to prove the effectiveness of the proposed algorithm.