摘要
主要研究了SSS检测,提出一种新的SSS检测算法。该算法首先利用滑动平均窗修正接收的PSS处估计出的信道频率响应,并用修正后的信道频率响应对接收的SSS序列进行信道补偿;其次,算法对信道补偿后的序列进行实数提取操作,消除虚部数据干扰;最后算法联合两个连续的SSS接收序列进行检测进一步提高检测性能。TDD和FFD两种模式下的仿真结果表明:该算法可以较好地实现SSS检测且比现有几种SSS检测算法在低信噪比(SNR<0 dB)条件下具有更好的检测性能。
This paper presented a novel SSS detection algorithm for the second step.Firstly,the proposed algorithm utilized the sliding-average-window to modify the channel frequency response(CFR) estimated at the received PSS,and then compensated the CFR at the received SSS with the modified CFR.Secondly,to eliminate the imaginary data interference,the proposed algorithm extracted real data from the sequence after channel compensation.Lastly,two continuous received SSS sequences could be combined to obtain enhanced detection performance.The simulation results in TDD and FDD model show that,the proposed algorithm can implement SSS detection and has a better performance in low signal to noise ratio(SNR0) compared with the other several existed SSS detection methods.
出处
《计算机应用研究》
CSCD
北大核心
2013年第6期1790-1793,1797,共5页
Application Research of Computers
基金
国家科技重大专项基金资助项目(2011ZX03003-003-02)
关键词
SSS检测
滑动平均窗
实数提取
SSS(secondary synchronization signal) detection
sliding average window
real data extraction