Sequential measurement processing is of benefit to both estimation accuracy and computational efficiency. When the noises are correlated across the measurement components, decorrelation based on covariance matrix fact...Sequential measurement processing is of benefit to both estimation accuracy and computational efficiency. When the noises are correlated across the measurement components, decorrelation based on covariance matrix factorization is required in the previous methods in order to perform sequential updates properly. A new sequential processing method, which carries out the sequential updates directly using the correlated measurement components, is proposed. And a typical sequential processing example is investigated, where the converted position measure- ments are used to estimate target states by standard Kalman filtering equations and the converted Doppler measurements are then incorporated into a minimum mean squared error （MMSE） estimator with the updated cross-covariance involved to account for the correlated errors. Numerical simulations demonstrate the superiority of the proposed new sequential processing in terms of better accuracy and consistency than the conventional sequential filter based on measurement decorrelation.展开更多
当MIMO-OFDM(Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)系统工作于频率选择性快衰落信道时,子载波正交性会受到破坏从而引入子载波间干扰(Inter-Carrier Interference:ICI).ICI的存在将严重降低那...当MIMO-OFDM(Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)系统工作于频率选择性快衰落信道时,子载波正交性会受到破坏从而引入子载波间干扰(Inter-Carrier Interference:ICI).ICI的存在将严重降低那些传统的用于检测准静止频率选择性衰落信道下MIMO-OFDM的检测算法的性能.本文将Schniter针对SISO (Single Input Single Output)OFDM系统提出的最优线性预处理扩展到MIMO-OFDM系统,基于这个信号模型推广了基于最小均方误差滤波的迭代软判决干扰抵消(Minimum Mean Square Error filtering based Iterative Soft'Decision Interference Can- cellation:MMSE-ISDIC)逐符号检测算法,同时提出一种基于准最大后验概率准则的迭代软判决干扰抵消(quasi-maximum A posteriori probability based ISDIC:quasi-MAP-ISDIC)联合检测算法.仿真结果表明在本文考虑的系统参数设定下这两种检测算法的性能均优于文献[8]中算法的性能,其中quasi-MAP-ISDIC检测算法能够获得接近基于理想ICI抵消的MAP检测算法的性能.展开更多
基金supported by the National Natural Science Foundation of China(6120131161132005)the Aerospace Science Foundation of China(20142077010)
文摘Sequential measurement processing is of benefit to both estimation accuracy and computational efficiency. When the noises are correlated across the measurement components, decorrelation based on covariance matrix factorization is required in the previous methods in order to perform sequential updates properly. A new sequential processing method, which carries out the sequential updates directly using the correlated measurement components, is proposed. And a typical sequential processing example is investigated, where the converted position measure- ments are used to estimate target states by standard Kalman filtering equations and the converted Doppler measurements are then incorporated into a minimum mean squared error （MMSE） estimator with the updated cross-covariance involved to account for the correlated errors. Numerical simulations demonstrate the superiority of the proposed new sequential processing in terms of better accuracy and consistency than the conventional sequential filter based on measurement decorrelation.
文摘当MIMO-OFDM(Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)系统工作于频率选择性快衰落信道时,子载波正交性会受到破坏从而引入子载波间干扰(Inter-Carrier Interference:ICI).ICI的存在将严重降低那些传统的用于检测准静止频率选择性衰落信道下MIMO-OFDM的检测算法的性能.本文将Schniter针对SISO (Single Input Single Output)OFDM系统提出的最优线性预处理扩展到MIMO-OFDM系统,基于这个信号模型推广了基于最小均方误差滤波的迭代软判决干扰抵消(Minimum Mean Square Error filtering based Iterative Soft'Decision Interference Can- cellation:MMSE-ISDIC)逐符号检测算法,同时提出一种基于准最大后验概率准则的迭代软判决干扰抵消(quasi-maximum A posteriori probability based ISDIC:quasi-MAP-ISDIC)联合检测算法.仿真结果表明在本文考虑的系统参数设定下这两种检测算法的性能均优于文献[8]中算法的性能,其中quasi-MAP-ISDIC检测算法能够获得接近基于理想ICI抵消的MAP检测算法的性能.
