提出了 STBC MIMOCDMA 系统中一种新的基于多用户 ML 估计的带制约的最小方差无失真响应(CMVDR)接收机,能有效抑制多址干扰(MAI)和符号间干扰(ISI)。给出了多用户、多径的 STBC MIMO CDMA 系统信道模型及 ML 参数估计,并给出了分部加权...提出了 STBC MIMOCDMA 系统中一种新的基于多用户 ML 估计的带制约的最小方差无失真响应(CMVDR)接收机,能有效抑制多址干扰(MAI)和符号间干扰(ISI)。给出了多用户、多径的 STBC MIMO CDMA 系统信道模型及 ML 参数估计,并给出了分部加权和整体加权两种 CMVDR 接收机,本接收机也适用于 SIMO CDMA系统。进行了系统模拟,并对分部加权和整体加权两种 CMVDR 接收机的性能以及自适应 CMMSE 接收机的性能进行了比较分析。展开更多
An algorithm of broadband minimum variance distortionless response(MVDR) based on the frequency energy normalization is proposed.First,every narrowband frequency component of the broadband signal is normalized by the ...An algorithm of broadband minimum variance distortionless response(MVDR) based on the frequency energy normalization is proposed.First,every narrowband frequency component of the broadband signal is normalized by the total narrowband energy of all array elements,and the narrowband power is calculated by MVDR.Finally,final spatial energy spectrum can be obtained by averaging or summing all results of every narrowband frequency bin.Any prior-information about the noise or the signal is unnecessary for the proposed method in this paper.The processing gain of the proposed method compared to the conventional broadband MVDR can be obtained as long as the amplitude fluctuation of the array noise frequency spectrum is severer than that of the target signal.The validity of the method is validated by the optimal signal detection theory.Simulation and real data are used to validate the performance of the method.Analysis results show that about 4 dB processing gain compared to the general broadband MVDR can be reached by the proposed method.展开更多
文摘提出了 STBC MIMOCDMA 系统中一种新的基于多用户 ML 估计的带制约的最小方差无失真响应(CMVDR)接收机,能有效抑制多址干扰(MAI)和符号间干扰(ISI)。给出了多用户、多径的 STBC MIMO CDMA 系统信道模型及 ML 参数估计,并给出了分部加权和整体加权两种 CMVDR 接收机,本接收机也适用于 SIMO CDMA系统。进行了系统模拟,并对分部加权和整体加权两种 CMVDR 接收机的性能以及自适应 CMMSE 接收机的性能进行了比较分析。
基金Sponsored by New Century Excellent Talent Support Project (NCET-04-0545)
文摘An algorithm of broadband minimum variance distortionless response(MVDR) based on the frequency energy normalization is proposed.First,every narrowband frequency component of the broadband signal is normalized by the total narrowband energy of all array elements,and the narrowband power is calculated by MVDR.Finally,final spatial energy spectrum can be obtained by averaging or summing all results of every narrowband frequency bin.Any prior-information about the noise or the signal is unnecessary for the proposed method in this paper.The processing gain of the proposed method compared to the conventional broadband MVDR can be obtained as long as the amplitude fluctuation of the array noise frequency spectrum is severer than that of the target signal.The validity of the method is validated by the optimal signal detection theory.Simulation and real data are used to validate the performance of the method.Analysis results show that about 4 dB processing gain compared to the general broadband MVDR can be reached by the proposed method.
