面向低强度无线网络信号接收谱参数估计研究

Study on Estimation of Parameters for Low Intensity Wireless Network Signal Receiving Spectrum

摘要:

针对以北斗卫星导航信号为代表的亚纳秒级的低强度无线网络信号在定位中难以获取精确时间估计及角度估计,且易受环境噪声影响,使其定位精度不高等难题,提出了基于亚纳秒级的低强度无线网络信号接收谱参数估计方法;首先通过抽样方式,将发射信号抽样为多维独立子信号并独立建模,通过构造噪声空间与子信号空间在对应列向量正交化的基础上精确获取TOA估计；随后利用复数域映射,在获取TOA估计基础上采取比对方式精确地获取DOA估计;最后对所提参数估计方法进行了精度分析;测试数据显示:与PM算法、ESPRIT算法相比,所提技术在TOA及DOA估计上更为精确；同时在信号强度低且背景噪声干扰严重的情况下,所提方法仍可有效的维持参数估计精度;该技术能够有效减轻背景噪声对信号传输的影响,具有较强的实际部署意义。

Abstract:

In order to solve the problem as low positioning accuracy induced by easily influenced by environmental noise and difficult to obtain precise time estimation and angle estimation in the processing of the low intensity radio network signal of the sub nanosecond level represented by the Beidou satellite navigation signal, the Parameter estimation method of low intensity radio network signal receiving spectrum based on sub-nanosecond was proposed in this paper. Firstly, TOA estimation is obtained by constructing the noise space and the sub signal space, as well as the transmitted signal was sampled by the sampling method. Then, the DOA estimation was obtained by using the complex number field mapping and the TOA estimation. Finally, the accuracy of the proposed parameters estimation method was analyzed. Test data shows that:this proposed method had higher accuracy in TOA and DOA estimation; At the same time, he proposed method can effectively maintain the accuracy of parameter estimation in the case of low signal intensity and severe background noise. This technology can effectively reduce the influence of background noise on signal transmission, and has strong practical significance