GNSS抗干扰接收机的自适应波束形成算法

针对全球导航卫星系统（global navigation satellite system, GNSS）接收机的抗干扰问题，以空-时自适应天线阵列为研究对象，提出了组合的自适应波束形成算法。该算法首先采用子空间正交投影技术消除接收信号中的强干扰信号，然后通过最大化相关后信号载噪比（carrier to noise ratio, C/N₀）约束准则加强GNSS信号质量。仿真结果表明,相对于传统的最大化阵列输出信噪比准则，最大化相关后信号C/N₀准则能够提高信号载噪比约4 dB。并且提出的组合算法可使接收机在有效抑制干扰的同时，又能够大大提高信号的捕获和跟踪性能。

Adaptive beamforming algorithm for space-time interference suppression in GNSS receivers

Antenna arrays with space-time adaptive processing(STAP) have been widely used in the global navigation satellite system(GNSS) to suppress interference in spatial domain as well as temporal domain,its performance depends on digital beamforming algorithms.A joint adaptive beamforming algorithm is proposed,which produces nullings in the directions of interference while simultaneously maximizing the carrier-to-noise ratio(C/N0) of post-correlation signals.Firstly,the interferences are cancelled by using subspace orthogonal projection.Then,the maximum C/N0 constraint algorithm is employed to enhance the post-correlation signal.Simulations demonstrate that using the proposed adaptive algorithm,STAP can effectively suppress the interferences and improve the capturing performance of GNSS signals.