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Your search keyword '"Xiao-Long Zhu"' showing total 2 results
Start Over Author "Xiao-Long Zhu" Journal ieee transactions on signal processing
2 results on '"Xiao-Long Zhu"'

1. A low-complexity sequential Monte Carlo algorithm for blind detection in MIMO systems

Author

Yong-Tao Su, Xian-Da Zhang, and Xiao-Long Zhu

Subjects
Monte Carlo method -- Usage, MIMO communications -- Analysis, Estimation theory -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

A low-complexity sequential Monte Carlo (LC-SMC) algorithm is presented for blind detection in multiple-input, multiple-output systems, the main idea of which is to reduce the sampling space through channel estimation, initialized using the first differentially modulated symbol and then updated using the Monte Carlo samples. Simulations results show that the proposed LC-SMC has much lower complexity than the original SMC algorithm but still maintains a good performance.

Published
2006

2. A low-complexity sequential Monte Carlo algorithm for blind detection in MIMO systems

Author

Xiao-Long Zhu, Xian-Da Zhang, and Yongtao Su

Subjects
Computational complexity theory, Iterative method, Estimation theory, MIMO, Monte Carlo method, Data_CODINGANDINFORMATIONTHEORY, Statistics::Computation, Signal Processing, Turbo code, Electrical and Electronic Engineering, Particle filter, Algorithm, Computer Science::Information Theory, Mathematics, Statistical signal processing
Abstract

In statistical signal processing, the sequential Monte Carlo (SMC) method is powerful and can approach the theoretical optima. However, its computational complexity is usually very high, especially in multiple-input multiple-output (MIMO) systems. This paper presents a new low-complexity SMC (LC-SMC) algorithm for blind detection in MIMO systems, the main idea of which is to shrink the sampling space via channel estimation which is initialized using the first differentially modulated symbol and then updated using the Monte Carlo samples. Since the a posteriori probability of the transmitted symbols can be calculated separately by each transmit antenna, the proposed LC-SMC algorithm is not only computationally efficient, as compared to the original SMC whose complexity grows exponentially with the number of transmit antennas, but also makes blind turbo receiver more feasible for multilevel/phase modulations. Simulation results are presented to demonstrate the effectiveness of the LC-SMC algorithm

Published
2006

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