基于盲波束形成的CDMA信号伪码估计

为解决低信噪比(SNR)条件下CDMA信号伪码盲估计问题，提出结合盲波束形成和奇异值分解的盲估计方法。在信号波达方向和信道同步信息未知的情况下，估计各用户的扩频序列，完成多用户检测，并给出高斯噪声下盲多用户检测的完整数学表达式。理论分析和仿真结果表明，该方法通过天线阵列的分集和扩频增益能在低SNR下完成伪码估计，且其多用户检测性能相对传统单天线检测算法有较大提高。

Signal Pseudocode Estimation for CDMA Based on Blind Beamforming

In order to solve the problem of CDMA signal pseudocode estimation under the condition of low Signal to Noise Ratio(SNR), this paper presents a blind estimation method based on blind beamforming and Singular Value Decomposition(SVD). It can estimate spread spectrum for each user, accomplish multi-user detection, and give complete mathematical expression of blind multi-user detection under Gaussian noise without the information of channel synchronizing and signal Direction Of Arrive(DOA). Theory analysis and simulation results show that this method can work well in lower SNR surrounding by utilizing spreading gain and the antenna array gain, and the performance of this method is better than single array detection.