Direction finding using data-supported optimization

A novel data-supported optimization technique for maximum likelihood (ML) direction-of-arrival estimation is proposed. The essence of our approach is to optimize the likelihood function at certaindata-supported points obtained by a resampled root-MUSIC procedure. These points are shown to comprise a small but representative subset of all possible searching points and contain enough information for solving the ML problem.This work was supported in part by grants from the National Sciences and Engineering Research Council of Canada (NSERC), Ministry of Energy, Science and Technology (MEST) of Ontario, Communications and Information Technology Ontario (CITO), and by the Senior Individual Grant Program of the Swedish Foundation for Strategic Research.     

无线中继网络编码的最优化解码方案

网络编码技术在无线通信系统中的应用能够显著的提高通信系统的干扰性从而降低误码率并且提高数据传输率。主要研究了两个用户、两个中继、一个基站组成的无线通信系统,当两个用户同时输出相互独立的信息时,基站的最优解码方案。首先分析了在基站采用独立硬判决解码和联合软判决解码两种解码方案,然后通过数据仿真方法比较了采用两种解码方案时基站接收误码率,最后在理论上推导出联合软判决解码方案的误码率边界曲线并得到最优化的解码方案。     

独立成份分析的信息极大快速算法

本独立成份分析(ICA)是信号处理的一种新的技术,用来从观测的多维混合信号中提取具有统计独立性的成份.本文基于信息极大似然估计,采用牛顿迭代算法,建立了ICA的一种信息极大快速算法.该算法具有二阶收敛性,其有效性为文中展示的图像分离测试效果所证实.     

Mode‐SVD‐Based Maximum Likelihood Source Localization Using Subspace Approach

A mode‐singular‐value‐decomposition (SVD) maximum likelihood (ML) estimation procedure is proposed for the source localization problem under an additive measurement error model. In a practical situation, the noise variance is usually unknown. In this paper, we propose an algorithm that does not require the noise covariance matrix as a priori knowledge. In the proposed method, the weight is derived by the inverse of the noise magnitude square in the ML criterion. The performance of the proposed method outperforms that of the existing methods and approximates the Taylor‐series ML and Cramér‐Rao lower bound.     

稀疏码分多址系统一种改进的检测算法

稀疏码分多址(SCMA)系统中基于球形译码算法(SD)由于具有优良的性能受到越来越多的关注,然而现有基于SD的算法只能用于某些特定星座结构的检测,导致其应用受限.该文提出一种适用于任意星座且性能达到最大似然(ML)算法性能的改进球形译码(ISD)算法.该算法将用户星座图拆分,并将用户星座图转换为多层树结构,利用对树结构...     

Iterative receiver for OFDM systems based on semi-blind channel estimation

In this paper we propose two iterative algorithms of joint channel estimation and symbol detection for Orthogonal Frequency Division Multiplexing （OFDM） systems. In which, superimposed pilot scheme is adopted and an initial Channel State Information （CSI） is obtained by employing a first-order statistic. In each subsequent iteration, we propose two algorithms to update the CSI. The Mean Square Error （MSE） of channel estimation and Bit Error Rate （BER） performance are given and simulation results demonstrate that the iterative algorithm using method B has good performance approaching the ideal condition.     

非理想条件下分布式MIMO雷达目标检测

针对任意波形相关、任意阵列配置情况下分布式MIMO雷达目标检测问题,提出了一种基于Cholesky分解的MIMO雷达检测器;首先分析了分布式MIMO雷达回波的相关性,并给出了任意阵列配置时MIMO雷达检测算法;同时,为了解决发射波形相关矩阵出现奇异性导致无法获得检测统计量的问题,提出了基于Cholesky分解的分布式MIMO雷达检测方法,给出了统一框架下的检测统计量表达式,推导了虚警概率和检测概率的近似解析式;研究得出:在低信噪比情况下,相关性越大,检测性能越好;在高信噪比时,相关性越小,检测性能越优;最后数值仿真验证了理论分析的有效性和正确性.     

并联系统下屏蔽数据新模型的统计分析

给出了并联系统下屏蔽数据新模型,修正了原有的基本假定,在此基础上推导了相应的似然函数,在全样本、定时截尾样本场合下研究了参数的极大似然估计,并通过Monte-Carlo模拟算例验证方法的可行性.     

广义空间调制系统的低复杂度检测算法

针对广义空间调制( GSM)系统接收端最大似然( ML)检测算法计算复杂度极高的缺点,提出了一种基于压缩感知( CS)信号重构理论的低复杂度信号检测算法。首先,在多输入多输出( MI-MO)信道模型下,通过改进正交匹配追踪( OMP)算法,得到一个激活天线索引备选集;然后,利用ML算法在该备选集中进行遍历搜索,检测出激活天线索引和星座调制符号。仿真结果表明所提算法的检测性能接近于ML算法,且复杂度约为ML算法的2%。因此,所提算法在保证检测性能的同时也大大降低了计算复杂度,实现了检测性能与复杂度之间的平衡。     

Carrier Frequency Offset Estimation for MIMO over Spatially Correlated Flat-fading Channels

This paper deals with Carrier frequency offset （CFO） estimation for Multiple-input multiple-output （MIMO） systems. A Rayleigh fiat-fading channel model is considered and spatial correlation among channels corresponding to different pairs of transmit and receive antennas is taken into account. A Data-aided （DA） Maximum likelihood （ML）CFO estimator based on the marginal likeli- hood function is proposed. It can exploit spatial diversity and make use of the knowledge of spatial correlation by averaging the conditional likelihood function over all realizations of the channel. The Cramer-Rao bound （CRB） for the problem is derived as a benchmark. Simulation results are given to illustrate the performance of the pro- posed estimator. It is shown that its performance is close to the CRB at high Signal-to-noise ratio （SNR） region and improved with decrease of the spatial correlation and in- crease of the number of receive antennas.