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针对高脉冲重复频率脉冲多普勒(HPRF-PD)体制的相控阵主动雷达导引头中存在的距离遮挡问题,设计了一种新的波形选择策略。首先,利用提出的脉冲重复频率(PRF)波形选择策略,离线计算得到距离对应PRF的波形查找表。然后,通过叉积自动频率控制环路滤波(CPAFCLF)算法预估下个相参处理间隔(CPI)导引头与目标间的径向相对速度,并联合提出的基于Sage-Husa带有速度预测的自适应“当前”统计模型(SH-ACSMVP)算法得到的距离跟踪值,获得下个CPI的距离预测值。在跟踪机动目标场景中,相比于“当前”统计(CS)模型跟踪算法及基于“当前”统计模型的自适应无迹卡尔曼滤波(CAUKF)算法,本文算法得到的距离预测误差更小,误差收敛速度更快。根据此距离预测值从波形查找表中选择波形发射,作为下个CPI的发射波形,实现后续跟踪阶段的抗距离遮挡,提高目标跟踪性能。仿真结果表明了本文所设计波形选择策略的正确性及有效性。
Aiming at the problem of distance occlusion in phased array active radar seeker with high pulse repetition frequency pulse Doppler (HPRF-PD) system, a new waveform selection strategy is designed. First, the waveform look-up table of the PRF corresponding to the distance is calculated offline by using the proposed pulse repetition frequency (PRF) waveform selection strategy. Then the CPAFCLF algorithm is used to estimate the radial relative velocity between the CPI seeker and the target. The proposed algorithm is based on Sage-Husa velocity prediction Distance-tracking value obtained from the adaptive “current” statistical model (SH-ACSMVP) algorithm to obtain the distance prediction value of the next CPI. Compared with the “current” (CS) model tracking algorithm and the adaptive unscented Kalman filter (CAUKF) algorithm based on the “current” statistical model in tracking maneuvering target scenario, the distance prediction The error is smaller, error convergence faster. According to the predicted value of the distance, the waveform emission is selected from the waveform look-up table as the transmission waveform of the next CPI to achieve the anti-distance shielding in the subsequent tracking phase and improve the target tracking performance. The simulation results show the correctness and validity of the waveform selection strategy designed in this paper.