To estimate the spreading sequence of the direct sequence spread spectrum (DSSS) signal, a fast algorithm based on maximum likelihood function is proposed, and the theoretical derivation of the algorithm is provided. ...To estimate the spreading sequence of the direct sequence spread spectrum (DSSS) signal, a fast algorithm based on maximum likelihood function is proposed, and the theoretical derivation of the algorithm is provided. By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and sliding window. Since it avoids the correlation matrix computation, the algorithm significantly reduces the storage requirement and the computation complexity. Simulations show that it is a fast convergent algorithm, and can perform well in low signal to noise ratio (SNR).展开更多
Vehicle positioning with the global navigation satellite system （GNSS） in urban environments faces two problems which are attenuation and dynamic. For traditional GNSS receivers hardly able to track dynamic weak sig...Vehicle positioning with the global navigation satellite system （GNSS） in urban environments faces two problems which are attenuation and dynamic. For traditional GNSS receivers hardly able to track dynamic weak signals, the coupling between all visible satellite signals is ignored in the absence of navigation state feedback, and thermal noise error and dynamic stress threshold are contradictory due to non-coherent discriminators. The vector delay/frequency locked loop （VDFLL） with navigation state feedback and the joint vector tracking loop （JVTL） with coherent discriminator which is a synchronization parameter tracking loop based on maximum likelihood estimation （MLE） are proposed to improve the tracking sensitivity of GNSS receiver in dynamic weak signal environments. A joint vector position tracking loop （JVPTL） directly tracking user position and velocity is proposed to further improve tracking sensitivity. The coherent navigation parameter discriminator of JVPTL, being able to ease the contradiction between thermal noise error and dynamic stress threshold, is based on MLE according to the navigation parameter based linear model of received baseband signals. Simulation results show that JVPTL, which combines the advantages of both VDFLL and JVTL, performs better than both VDFLL and JVTL in dynamic weak signal environments.展开更多
组合定位系统由GPS(Global Position System)、航向姿态传感器以及超短基线定位系统所组成.常规的超短基线阵采用相位法进行定位.为了避免相位模糊,阵元间距必须小于半个波长,因此定位精度不会很高.组合定位系统中的超短基线阵采用时延...组合定位系统由GPS(Global Position System)、航向姿态传感器以及超短基线定位系统所组成.常规的超短基线阵采用相位法进行定位.为了避免相位模糊,阵元间距必须小于半个波长,因此定位精度不会很高.组合定位系统中的超短基线阵采用时延法进行定位,阵元间距可以取得远比半波长大.定位时,组合定位系统在海面飘浮,一个向上发射的声波发射器与海水中的被定位目标安装在一起.声波发射器发射宽带信号且被阵元所接收.采用最大似然估计,以得到发射信号与阵元接收信号之间的时延.大的阵元间距、宽的信号带宽以及精确的时延估计,能使定位精度有很大的提高.超短基线阵具有4个阵元.由4个时延可以得到4个斜距.再利用最小二乘法和坐标变换就可求得目标的经度、纬度以及深度.本文还给出了定位误差仿真、时延估计仿真以及湖试的结果.展开更多
基金supported by Joint Foundation of and China Academy of Engineering Physical (10676006)
文摘To estimate the spreading sequence of the direct sequence spread spectrum (DSSS) signal, a fast algorithm based on maximum likelihood function is proposed, and the theoretical derivation of the algorithm is provided. By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and sliding window. Since it avoids the correlation matrix computation, the algorithm significantly reduces the storage requirement and the computation complexity. Simulations show that it is a fast convergent algorithm, and can perform well in low signal to noise ratio (SNR).
基金supported by the National Natural Science Foundation for Young Scientists of China(61201190)
文摘Vehicle positioning with the global navigation satellite system （GNSS） in urban environments faces two problems which are attenuation and dynamic. For traditional GNSS receivers hardly able to track dynamic weak signals, the coupling between all visible satellite signals is ignored in the absence of navigation state feedback, and thermal noise error and dynamic stress threshold are contradictory due to non-coherent discriminators. The vector delay/frequency locked loop （VDFLL） with navigation state feedback and the joint vector tracking loop （JVTL） with coherent discriminator which is a synchronization parameter tracking loop based on maximum likelihood estimation （MLE） are proposed to improve the tracking sensitivity of GNSS receiver in dynamic weak signal environments. A joint vector position tracking loop （JVPTL） directly tracking user position and velocity is proposed to further improve tracking sensitivity. The coherent navigation parameter discriminator of JVPTL, being able to ease the contradiction between thermal noise error and dynamic stress threshold, is based on MLE according to the navigation parameter based linear model of received baseband signals. Simulation results show that JVPTL, which combines the advantages of both VDFLL and JVTL, performs better than both VDFLL and JVTL in dynamic weak signal environments.
文摘组合定位系统由GPS(Global Position System)、航向姿态传感器以及超短基线定位系统所组成.常规的超短基线阵采用相位法进行定位.为了避免相位模糊,阵元间距必须小于半个波长,因此定位精度不会很高.组合定位系统中的超短基线阵采用时延法进行定位,阵元间距可以取得远比半波长大.定位时,组合定位系统在海面飘浮,一个向上发射的声波发射器与海水中的被定位目标安装在一起.声波发射器发射宽带信号且被阵元所接收.采用最大似然估计,以得到发射信号与阵元接收信号之间的时延.大的阵元间距、宽的信号带宽以及精确的时延估计,能使定位精度有很大的提高.超短基线阵具有4个阵元.由4个时延可以得到4个斜距.再利用最小二乘法和坐标变换就可求得目标的经度、纬度以及深度.本文还给出了定位误差仿真、时延估计仿真以及湖试的结果.
