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第二十七届中国控制会议

作者： Hong Lu1,Mu Zhichun 2 1.Department of Electronic Engineering,Huaihai Institute of Technology,Lianyungang 222005,P.R.china 2.School of Information Engineering,University of Science and Technology beijing,beijing 10083.P.R.china

By integrating chaos mechanism and niche technique,a novel immune algorithm--the Clonal Chaos Adjustment Algorithm（CCAA） is proposed based on the clonal selection principle and idiotypic immune network theory exhibited in bio-logical immune *** advantages of the ergodic and stochastic properties of chaotic variable,an adaptive chaos mu-tation operator is designed by the combination of prior knowledge of antibody and evolution *** operator can avoid blind search effectively and enhance the convergence *** using stochastic processes martingale theory,the martingale characteristic of the average fitness of the population is analyzed and the almost sure strong convergence of CCAA is deduced. Furthermore,it is proved that the algorithm is globally convergent with probability 1 in a finite number of steps when the state space is *** simulation results of multi-modal function optimization show that CCAA can inhibit prematurity and has preferable global convergence performance.

关键词： Clonal selection principle Chaos Martingale Almost sure strong convergence

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Rectangle blocking matrices based unitary multistage Wiener reduced-rank joint detection algorithm for multiple input multiple output systems

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Science china(Information Sciences) 2010年第10期53卷 2116-2126页

作者： REN PinYi 1 , WANG Rui 2 & ZHANG ShiJiao 1 1 School of Electronic Engineering, Xi’an Jiaotong University, Xi’an 710049, china 2 Xi’an Monitoring Station, The State Administration of Radio Film and Television, Xi’an 710101, china 1. School of Electronic Engineering Xi’an Jiaotong University Xi’an 710049 China2. Xi’an Monitoring Station The State Administration of Radio Film and Television Xi’an 710101 China

Traditional equalization algorithms for multiple input multiple output (MIMO) systems suffer from high complexity and low convergence rate. So an improved adaptive reduced-rank joint detection algorithm of multistage Wiener filter (MSWF) based on rectangle blocking matrices is proposed. The MSWF is implemented by the correlation subtraction algorithm (CSA) structure and is called unitary multistage Wiener filter (UMSWF). The new scheme adopts rectangle submatrix as blocking matrix, which is chosen from the square blocking matrix for UMSWF. The proposed algorithm can reduce the size of the observation data vectors step by step in the forward recursion decomposition of UMSWF. Thus, the computational complexity is reduced and the convergence rate is increased. Theoretical analysis and simulation results show that this improved adaptive reduced-rank joint detection algorithm of UMSWF based on rectangle blocking matrix has better performance such as lower complexity and faster convergence rate. In particular, simulations are conducted in the verticalBell labs layered space-time (V-BLAST) system which adopts BPSK modulation, where 4 and 8 antennas are equipped at the transmitter and receiver, respectively. Compared with traditional equalization algorithm based on UMSWF, our new method can achieve the same BER performance at high SNR with only 0.5 times that of computational complexity.

关键词： multiple input multiple output (MIMO) systems unitary multistage Wiener filter (UMSWF) joint detection blocking matrix

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On degrees of freedom of the cellular network

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Science china(Information Sciences) 2010年第05期53卷 1034-1043页

作者： SUN Jun 1,2 , LIU YingZhuang 1,2 & ZHU GuangXi 1,2 1 Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 43.074, china 2 Division of Optical Network and Intelligent Communication, Wuhan National laboratory for Optoelectronics, Wuhan 43.074, china 1. Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan 430074 China2. Division of Optical Network and Intelligent Communication Wuhan National Laboratory for Optoelectronics Wuhan 430074 China

In this paper, we consider the capacity limits of the cellular network by modeling it as consisting of two mutually interfering multiple access channels with multiple antennas at each receiver (e.g., base station). By developing a tight outerbound as well as an achievable scheme which exploits the idea of interference alignment, we are able to exactly characterize the sum degrees of freedom (DoF) of the network when the channel coefficients are timeor frequency-varying, which equals KM K+min(M,K) (where M and K denote the number of receiver antennas and number of users in per cell, respectively) per cell. From the DoF result, it can be observed that in addition to the multi-user gain which has been reported for the network with single-antenna BSs, there also exists the multi-antenna gain in the cellular network. In particular, when the number of users is large, we can nearly achieve the interference-free DoF of a cellular network with multiple-antenna BSs, which is a somewhat surprising result.

关键词： capacity degrees of freedom cellular network interference alignment interference channel MIMO

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