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The Research on Signal Detection and Parameter Estimation for OFDM System with Antenna Array

Author: FengBao
Tutor: ZhangXiaoFei
School: Nanjing University of Aeronautics and Astronautics
Course: Communication and Information System
Keywords: OFDM Smart Antenna Signal detection Parameter estimation Carrier frequency offset estimation DOA Estimation
CLC: TN919.3
Type: Master's thesis
Year: 2009
Downloads: 53
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Orthogonal frequency division multiplexing (OFDM, Orthogonal Frequency Division Multiplexing) is the fourth generation mobile communication key technologies. Array antenna technology is the solution to lack of frequency resources plaque effective way, while also improving system capacity and quality of communication. In recent years, people study this technique for OFDM system, signal processing and adaptive beamforming, can significantly improve the system signal to interference and noise power ratio (SINR, Signal to Interference Noise Ratio), to reduce multipath delay spread and Decline to achieve angle diversity and space division multiple access system so that it can be effective against co-channel interference, greatly reducing system bit error rate and improve the system's spectrum utilization and system capacity. This paper studies the array antenna OFDM system signal detection and parameter estimation problem. The main text of the work are as follows: First, OFDM and smart antenna technology development, application, and system models to do the basic principles are reviewed. On the radio channel is analyzed and a mathematical model. Then, the analysis of the carrier frequency offset in OFDM system performance, and in the introduction of traditional OFDM system based on the frequency offset estimation algorithm, described in detail CP-ML (Maximum Likelihood based on Cyclic Prefix, based on the maximum cyclic prefix likelihood estimation) algorithm and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique, using rotational invariance techniques estimate signal parameters) method. OFDM system through the array antenna receiving end of the signal analysis and reconstruction, which has multiple invariant draw. Accordingly, the proposed use of MI-ESPRIT (Multi-Invariance ESPRIT, multiple constant ESPRIT) algorithm for blind frequency offset estimation. Simulation results show that, MI-ESPRIT frequency offset estimation algorithm has better performance, and with the number of blocks of the OFDM symbol and the number of antennas increase performance better. It has more than CP-ML algorithms and better performance ESPRIT method. MI-ESPRIT algorithm does not require any of the known training sequence and cyclic prefix symbols, is a blind approach. Finally, the usual array antenna beamforming algorithm OFDM system has summarized. Describes the mathematical basis of parallel factor technology. Through the receiver array OFDM signal analysis, which is a three linear model features. Accordingly, the proposed trilinear decomposition-based joint symbol detection and DOA estimation (Trilinear-JSDE, Trilinear decomposition-based Joint Symbol Detection and DOA Estimation) algorithm. Simulation results show that, Trilinear-JSDE signal detection algorithm performance and non-blind post-FFT receiver is very close, DOA estimation performance is very close to non-blind LS algorithm. Performance of the algorithm increases with the number of samples changed for the better, even in small samples despite having better performance. Trilinear-JSDE algorithm does not require any channel fading information, DOA information and the known pilot or training sequence, a blind approach.

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