改进的机载相控阵雷达JDL-STAP算法

Improved JDL-STAP algorithm for airborne phased array radar

机载相控阵雷达在下视工作时受地杂波的影响较大,虽然空时自适应处理(STAP)技术拥有良好的杂波抑制能力,但其性能依赖于大量的训练样本和高运算量,在现实工程中难以应用。为了弥补STAP算法的不足之处,提出了一种改进的局域联合处理(JDL)降维算法。该方法在构造降维矩阵时,调整了局域处理单元的选取策略,并在主通道对应的杂波脊处选取了4个独立的辅助通道以提高波束的指向性、抵消主波束中的杂波。实验结果表明,改进后算法比传统JDL算法拥有更好的杂波抑制性能,并进一步减少了系统计算量,在存在幅相误差的情况下仍能保持较好的稳定性。

Airborne phased array radar is greatly affected by ground clutter when it is working downwards. Although the space-time adaptive processing(STAP) technology has good performance of suppressing clutter, its performance depends on a large number of training samples and high computational complexity, it is difficult to apply in practice. In order to make up for the shortcomings of the STAP algorithm, an optimization algorithm for local joint processing(JDL) is proposed. When constructing the dimensionality reduction matrix, the method adjusts the selection strategy of the local processing region, four independent auxiliary channels are selected at the clutter ridge corresponding to the main channel to improve the directivity of the beam and cancel the clutter in the main beam. The results show that the optimized method has better clutter suppression performance than the traditional JDL method, further reduces the amount of system calculation, and maintains better stability in the case of amplitude-phase error.