摘要
在深入研究基于特征分析的干扰抑制方法的基础上,先对特征相消器的权矢量进行简化,然后提出一种改进算法——正交稳健最小递归二乘(ORRLS)算法来实现特征相消器.ORRLS算法可以保证所得特征矢量矩阵具有正交性,还可以自适应地估计子空间维数.理论分析和仿真试验表明,ORRLS算法在强干扰的情况下,仍能稳健地收敛,更适合于直接序列扩频系统中的干扰抑制.
By investigating narrow-band interference suppression based on eigenanalysis in direct sequence spread spectrum（DSSS） communication systems, this paper simplifies the weight vector of eigencanceller. An improved algorithm, orthonormal robust recursive least square （ORRLS） algorithm is proposed to realize the eigencanceller. ORRLS algorithm can guarantee orthonormality of the weight matrix in iteration. Moreover, it can track the rank of interference subspace. Theoretic analysis and simulation indicate that the ORRLS algorithm can converge robustly when the interferences are very strong. It is suitable to reject narrow-band interferences in DSSS communication systems.
出处
《应用科学学报》
CAS
CSCD
北大核心
2008年第4期342-347,共6页
Journal of Applied Sciences
关键词
直接序列扩频
抗窄带干扰
特征相消器
子空间跟踪算法
正交稳健的RLS算法
DSSS, narrow-band interference suppression, eigencanceller, subspace tracking algorithm,orthonormal robust recursive least Square algor/thm
