基于盲子空间法的DS-CDMA系统码辅助NBI抑制技术研究

Research on Blind Narrow-Band Interference Suppression Based on Subspace Code-Aided Technique for DS-CDMA Systems

针对现存盲直接法码辅助技术抑制直接序列-码分多址(DS-CDMA,Direct Sequence-Code Division Multiple Access)系统窄带干扰(NBI,Narrow-Band Interference)性能不佳的问题,提出盲子空间法码辅助技术.盲子空间法利用对CDMA和NBI构成的虚拟CDMA用户联合特征子空间估计实现对三类NBI的抑制,包括音频干扰、数字窄带干扰和自回归(AR,Autoregressive)随机过程.本文详细推导了盲子空间法码辅助技术的输出信干噪比性能,对比了较盲直接法码辅助技术的优越性.仿真分析证明了算法的有效性.

A blind subspace code-aided technique for narrow-band interference （NBI） suppression of direct sequence-code division multiple access （DS-CDMA） systems is proposed. This technique is to improve the performance of direct matrix inverse （DMI） code-aided technique. The rejection of this technique is against three type of NBI, namely, sinusoidal tones, data NBI and autoregressive （AR） stochastic process by jointly estimating character space of virtual CDMA formed by CDMA and NBI.In this paper,signal to noise and interference rate （SINR） performance of blind subspace code-aided is addressed and revealed superiority with blind DMI code-aided. The feasibility of proposed technique is proved through simulations.