CDMA2000移动台的SSOA估计技术研究

Research on the Estimation Techniques of CDMA2000 Mobile Station Signal Strength of Arrival

受天线高度的影响和远近效应的功率控制,CDMA2000移动台信号非合作接收中信噪比急剧下降从而很难获得定位参数.从分析理论模型出发,提出了一种数据辅助积累量的到达信号强度(SSOA)估计算法,详细推导了其算法原理并用空中采集信号进行了仿真.结果表明该算法性能随积累程度的加深而增强,在CDMA移动台信号频谱容限范围内几乎不受载波频偏的影响,并在-10dB以下的信噪比条件下优于循环谱包络算法,数据辅助最大似然比(DAML)算法和判决指向最大似然比(DDML)算法.

The Signal Noise Ratio（SNR）of CDMA2000 mobile station signal falls sharply in non-cooperative reception,considering the height of receiving antenna and power constrains of Near-Far effect.It is difficult to get the location parameters in the non-cooperative signal.Begin with theoretical model analysis,this paper presents a signal strength of arrival（SSOA）estimation algorithm based on data-aimed accumulation statistics.The algorithm principle has been deduced in detail,and the simulation has been carried out using real air signal.The results show that,the performance of proposed algorithm gets better with accumulation grows,and hardly changes with the frequency offset within the tolerance of CDMA2000 mobile station signal.It is better than cyclic spectrum amplitude algorithm,Data-Aimed Maximum Likelihood（DAML）algorithm and Decision-Directed Maximum Likelihood（DDML） algorithm when SNR remains below-10dB.