论文部分内容阅读
雷达目标检测中,最优处理器能够自适应地调整权值以跟踪环境的变化,而最优权值的计算则需要依赖大量独立同分布(i.i.d.)的干扰样本.因此在机载雷达非均匀的杂波背景中,i.i.d.样本数不足常导致最优处理性能的恶化.文中在考虑杂波内部波动的基础上,形成了一种修正的多普勒分布式杂波(DDC)模型,并以此提出了一种参数化的最优处理新方法.区别于现有方法,新方法将最优权值计算转换为对DDC模型的参数估计,即估计角频率中心和扩展.并采用一种低复杂度的非线性能量算子实现上述参数的估计.通过理论分析和仿真实验表明新方法对i.i.d.样本数的要求显著下降,并具有运算量小、易于实现的优点.
In the radar target detection, the optimal processor can adaptively adjust the weights to track the changes of the environment, and the calculation of the optimal weights needs to rely on a large number of independent interference samples with the same distribution (iid) In the background of clutter, the deficiency of iid sample often leads to the deterioration of the optimal processing performance.In this paper, a modified Doppler distributed clutter (DDC) model is formed based on the internal fluctuation of clutter, In this paper, a new method of parametric optimization is proposed, which is different from the existing methods. The new method transforms the optimal weight calculation into the parameter estimation of DDC model, that is, the estimation of angular frequency center and expansion. The complexity of non-linear energy operator can be used to estimate the above parameters.The theoretical analysis and simulation results show that the new method has a significant reduction in the number of iid samples, and has the advantages of low computational complexity and easy implementation.