为了在空时两维空间实现机载雷达杂波对消处理,改善机载雷达动目标检测性能,利用给定载机速度和雷达工作参数时机载雷达杂波在角度。多普勒空间的分布轨迹是确定的这一先验信息,设计了机载雷达空时两维两脉冲杂波对消器和自适应空时两维两脉冲杂波对消器.建立了机载雷达杂波和动目标信号的矩阵-向量模型,提出厂关于两维两脉冲杂波对消器的二次目标函数,并以此优化设计得到两维两脉冲对消器;进一步推导出自适应空时两维两脉冲对消器.计算机仿真分析表明,该文算法计算量和样本要求低,有利于工程实现.基于实测数据的实验证明了算法在真实杂波环境中的有效性.
Given platform velocity and radar system parameters, the location of clutter in angle-Doppler space is known in airborne radar. For this paper, we designed a two dimensional two-pulse clutter canceller and then an adaptive two-dimensional two-pulse clutter canceller for airborne radar, making full use of this apriori information. First, the clutter model and moving target signal model were formulated in matrix-vector form, and this led naturally to the design of a two-dimensional two-pulse canceller that uses the apriori information. Second, an adaptive two-dimension- al two-pulse canceller was derived from the two-dimensional two-pulse canceller by dynamically estimating a two-dimensional two-pulse cancellation from the received data. Theoretical analysis and the results of computer simulations illustrated that the proposed methods have advantageously low computational loads and low data support requirements. The effectiveness of the proposed methods was tested via several experiments.