针对目前欺骗式干扰源定位场景中定位精度低、信息利用率不足等问题,本文提出了一种基于导航信号特征的直接定位方法(DeSpreading Direct Position Determination,DS-DPD).通过建立融合传输时延、多普勒频移、扩频序列的接收信号模型,...针对目前欺骗式干扰源定位场景中定位精度低、信息利用率不足等问题,本文提出了一种基于导航信号特征的直接定位方法(DeSpreading Direct Position Determination,DS-DPD).通过建立融合传输时延、多普勒频移、扩频序列的接收信号模型,利用最大似然准则构建直接定位的目标函数,并通过求解目标函数得到待定位欺骗式干扰源的位置信息.仿真结果表明,DS-DPD能够有效提升对欺骗式干扰源的定位精度.尤其在低干噪比环境下,与传统的基于时延和多普勒信息的直接定位方法相比,所提方法的定位精度可提高10倍以上.展开更多
In this paper, the phase characteristic disturbance model for baseband direct sequence spread spectrum (DSSS) signal in additive white Gaussian noise (AWGN) environment is established, and the probability density func...In this paper, the phase characteristic disturbance model for baseband direct sequence spread spectrum (DSSS) signal in additive white Gaussian noise (AWGN) environment is established, and the probability density function (PDF) of phase characteristic disturbance is obtained. Then a novel receiver model for baseband DSSS signal based on maximum likelihood (ML) criterion is proposed. The simulation results show that, comparing with correlation scheme, the performance of the proposed method for baseband DSSS signal is 1dB worse in AWGN environment. However, if there is narrow interference in the AWGN environment, the proposed method will show better performance up to 2.5dB, and it has good adaptive resistance to narrowband interference located in different frequency points. This method could be used as an alterative communication scheme for military circumstance when existing strong narrowband interference of various frequencies.展开更多
文摘针对目前欺骗式干扰源定位场景中定位精度低、信息利用率不足等问题,本文提出了一种基于导航信号特征的直接定位方法(DeSpreading Direct Position Determination,DS-DPD).通过建立融合传输时延、多普勒频移、扩频序列的接收信号模型,利用最大似然准则构建直接定位的目标函数,并通过求解目标函数得到待定位欺骗式干扰源的位置信息.仿真结果表明,DS-DPD能够有效提升对欺骗式干扰源的定位精度.尤其在低干噪比环境下,与传统的基于时延和多普勒信息的直接定位方法相比,所提方法的定位精度可提高10倍以上.
基金supported by the National Basic Research Program (973 Program) of China under Grant No.2007CB310606National Key Technologies R&D Program under Grant No.2009ZX03004-001
文摘In this paper, the phase characteristic disturbance model for baseband direct sequence spread spectrum (DSSS) signal in additive white Gaussian noise (AWGN) environment is established, and the probability density function (PDF) of phase characteristic disturbance is obtained. Then a novel receiver model for baseband DSSS signal based on maximum likelihood (ML) criterion is proposed. The simulation results show that, comparing with correlation scheme, the performance of the proposed method for baseband DSSS signal is 1dB worse in AWGN environment. However, if there is narrow interference in the AWGN environment, the proposed method will show better performance up to 2.5dB, and it has good adaptive resistance to narrowband interference located in different frequency points. This method could be used as an alterative communication scheme for military circumstance when existing strong narrowband interference of various frequencies.
