基于子带阵列盲处理的空时干扰抑制

摘要

In the traditional Space-Time Adaptive Processing ( STAP) of satellite smart antenna terminals, adaptive algorithms require signal information so that they have poor real-time performance and the array processing techniques are not only of high complexity but also suffer from inadequate anti-jammer capabili-ty. In order to solve these problems, a sub-band blind adaptive array processing algorithm is proposed in this paper, which applies the space-time interference suppression technology to Direct Sequence Spread Spectrum ( DSSS) system. Compared with the pure space-domain processing, sub-band adaptive array ( SBAA) greatly increases the freedoms of degree. It also simplifies algorithm complexity relative to Tapped-delay-line adaptive array ( TDLAA) structure of traditional STAP. The proposed sub-band blind adap-tive array algorithm using Exponential Linearly Constrained constant Modulus Algorithm ( EXP-LC-CMA) can provide higher convergence speed and better convergence accuracy with low algorithm complexity. Fur-thermore, the novel algorithm doesn't need training sequences, increasing the ability of tracing signal changes in real time. Simulation results show that the novel space-time interference suppression scheme exhibits a better anti-jamming performance.%在卫星智能天线终端，传统空时自适应滤波处理中自适应算法需要信号信息而缺乏实时性，阵列处理算法复杂而抗干扰能力不足，针对此问题，提出了一种子带盲自适应阵列处理算法，用于直扩系统空时干扰抑制技术。子带阵列处理相对纯空域处理提高了阵列自由度，相对传统空时的抽头延迟线阵列自适应结构又大大降低了算法复杂度。提出的子带指数型变步长线性约束恒模算法的自适应阵列处理算法能在低算法复杂度下提供较高的收敛速度和收敛精度，不需要发送训练序列，可实现盲自适应波束形成，易于实现实时跟踪信号变化。仿真结果表明新的空时干扰抑制方案具有更好的抗干扰性能。