由于现有的基于最大比合并MRC(Maximum Ratio Combination)的联合搜索定位算法实现复杂度高,为降低其计算复杂度,提出基于网格搜索的加权最大似然代价函数定位算法WMLGS(Weighted ML Grid Search Localization)。仿真结果表明:MRC和WMLG...由于现有的基于最大比合并MRC(Maximum Ratio Combination)的联合搜索定位算法实现复杂度高,为降低其计算复杂度,提出基于网格搜索的加权最大似然代价函数定位算法WMLGS(Weighted ML Grid Search Localization)。仿真结果表明:MRC和WMLGS算法的定位性能近似相等,在无地球表面约束条件下均优于单独时差或频差定位性能,并且逼近克拉美罗联合界,同MRC相比,WMLGS节省了一半左右的计算量,因此更具有实用价值。展开更多
针对正交频分复用系统中收发两端都有同相和正交不平衡的问题,本文提出了一种时域最小二乘(Time domain least square,TD-LS)信道估计算法。在此基础上,为了进一步挖掘无线信道的稀疏特性,又引入稀疏信号处理理论中的迭代收缩(Iterative...针对正交频分复用系统中收发两端都有同相和正交不平衡的问题,本文提出了一种时域最小二乘(Time domain least square,TD-LS)信道估计算法。在此基础上,为了进一步挖掘无线信道的稀疏特性,又引入稀疏信号处理理论中的迭代收缩(Iterative shrinkage,IS)和平行协调下降(Parallel coordinate descent,PCD)思想,构造了一种联合的信道估计算法:TD-LS-IS-PCD。仿真结果表明:采用相同的最小二乘补偿算法时,提出的TD-LS和TD-LS-IS-PCD的误码性能明显优于传统的频域最小二乘算法;同时TD-LS-IS-PCD算法误码性能优于TDLS,逼近理想情况,因此该算法充分挖掘了信道的稀疏特性。展开更多
A pilot pattern across two orthogonal frequency division multiplexing OFDM symbols with a special structure is designed for the channel estimation of OFDM systems with inphase and quadrature IQ imbalances at the recei...A pilot pattern across two orthogonal frequency division multiplexing OFDM symbols with a special structure is designed for the channel estimation of OFDM systems with inphase and quadrature IQ imbalances at the receiver.A high-efficiency time-domain TD least square LS channel estimator and a low-complexity frequency-domain Gaussian elimination GE equalizer are proposed to eliminate IQ distortion.The former estimator can significantly suppress channel noise by a factor N/L＋1 over the existing frequency-domain FD LS where N and L＋1 are the total number of subcarriers and the length of cyclic prefix and the proposed GE requires only 2N complex multiplications per OFDM symbol.Simulation results show that by exploiting the TD property of the channel the proposed TD-LS channel estimator obtains a significant signal-to-noise ratio gain over the existing FD-LS one whereas the proposed low-complexity GE compensation achieves the same bit error rate BER performance as the existing LS one.展开更多
在时变多用户MIMO-OFDM系统中,所有子载波整体预编码方案的性能优于单个子载波单独预编码方案。然而前者的复杂度是基站发射天线数J与子载波总数N乘积的函数,显著高于后者,特别NJ>1000时,复杂度极高。为了解决这个问题,我们提出了一...在时变多用户MIMO-OFDM系统中,所有子载波整体预编码方案的性能优于单个子载波单独预编码方案。然而前者的复杂度是基站发射天线数J与子载波总数N乘积的函数,显著高于后者,特别NJ>1000时,复杂度极高。为了解决这个问题,我们提出了一种基于最大化信泄噪比的复杂度可调的分组子载波GS-Max-SLNR(Grouped-Subcarrier Maximum Signal-toLeakage-and-Noise Ratio)预编码方案。此外,我们推导了组间干扰公式,该公式在给定多普勒频移和信噪比的条件下,可以根据需要选取合适的分组数。理论建模和仿真表明,通过选取合适的分组数目,提出的GS-Max-SLNR能够实现复杂度和性能的良好折中。展开更多
文摘由于现有的基于最大比合并MRC(Maximum Ratio Combination)的联合搜索定位算法实现复杂度高,为降低其计算复杂度,提出基于网格搜索的加权最大似然代价函数定位算法WMLGS(Weighted ML Grid Search Localization)。仿真结果表明:MRC和WMLGS算法的定位性能近似相等,在无地球表面约束条件下均优于单独时差或频差定位性能,并且逼近克拉美罗联合界,同MRC相比,WMLGS节省了一半左右的计算量,因此更具有实用价值。
基金The Open Research Fund of National Mobile Communications Research Laboratory of Southeast University(No.2013D02)the Fundamental Research Funds for the Central Universities(No.30920130122004)the National Natural Science Foundation of China(No.61271230,61472190)
文摘A pilot pattern across two orthogonal frequency division multiplexing OFDM symbols with a special structure is designed for the channel estimation of OFDM systems with inphase and quadrature IQ imbalances at the receiver.A high-efficiency time-domain TD least square LS channel estimator and a low-complexity frequency-domain Gaussian elimination GE equalizer are proposed to eliminate IQ distortion.The former estimator can significantly suppress channel noise by a factor N/L＋1 over the existing frequency-domain FD LS where N and L＋1 are the total number of subcarriers and the length of cyclic prefix and the proposed GE requires only 2N complex multiplications per OFDM symbol.Simulation results show that by exploiting the TD property of the channel the proposed TD-LS channel estimator obtains a significant signal-to-noise ratio gain over the existing FD-LS one whereas the proposed low-complexity GE compensation achieves the same bit error rate BER performance as the existing LS one.
文摘在时变多用户MIMO-OFDM系统中,所有子载波整体预编码方案的性能优于单个子载波单独预编码方案。然而前者的复杂度是基站发射天线数J与子载波总数N乘积的函数,显著高于后者,特别NJ>1000时,复杂度极高。为了解决这个问题,我们提出了一种基于最大化信泄噪比的复杂度可调的分组子载波GS-Max-SLNR(Grouped-Subcarrier Maximum Signal-toLeakage-and-Noise Ratio)预编码方案。此外,我们推导了组间干扰公式,该公式在给定多普勒频移和信噪比的条件下,可以根据需要选取合适的分组数。理论建模和仿真表明,通过选取合适的分组数目,提出的GS-Max-SLNR能够实现复杂度和性能的良好折中。
