针对阵列雷达系统在自适应抗干扰处理过程中设备复杂度高、期望信号信噪比下降等问题,在自适应旁瓣对消(ASLC)理论基础上,研究了一种改进的数字抗干扰处理算法。该算法分析了辅助天线单元独立设计引起的空间资源占用等问题,通过在天线阵列中灵活选取数字单元形成辅助信号的方式,优化阵列资源的同时增加了主阵列与辅助单元收到的干扰信号相关性,提高了系统的干扰抑制比;根据最小均方误差准则对辅助信号进行预加权处理,削减辅助波束接收的期望信号能量,改善了由于辅助波束接收信号的自相关矩阵中含有期望信号引起的期望信号相消问题。通过系统测试,验证了该技术的有效性,实测结果表明,该算法在简化天线阵列设计的同时,干扰调零深度达到了51. 6 dB,而期望信号信噪比仅损失0. 65 dB,解决了传统ASLC 算法效率下降的难题,具有广泛的工程应用前景。

In allusion to the problem of high equipment complexity and signal-to-noise degradation of desired signal in adaptive antijamming processing of digital array radar, an improved algorithm of digital beam anti-jamming is investigated. The algorithm analyses the problem of space resource occupancy caused by separate design of auxiliary antenna, it optimizes the array resource design and increases the correlations between desired signal and jamming, in order to improves the jamming-cancellation ratio by choosing the auxiliary antenna elements in the digital array flexibly. It decreases the energy of desired signal in auxiliary beam and solves the problem of desired signal cancellation due to signal in auxiliary beam autocorrelation matrix by pre-weighting to auxiliary signal according to minimum mean square error criteria. The effectiveness of this algorithm is proved in the system test, and the result shows that it has achieved 51. 6 dB on jamming nulling depth, with only 0. 65 dB loss of signal-to-noise ratio while simplifying the design of antenna array. It solved the problem of efficiency degradation in ASLC algorithm and has a broad engineering application prospects.

TN911.7