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Research on Blind Signal Detection Techniques in Adaptive Single- and Multi-Carrier Modulation

Author: HanGang
Tutor: LiJianDong
School: Xi'an University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Adaptive single carrier Adaptive multi-carrier Higher order cumulants Modulation blind detection Modulation Recognition Support vector machine
CLC: TN911.7
Type: PhD thesis
Year: 2003
Downloads: 881
Quote: 24
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Abstract


The adaptive transmission technology is one of the core technology of the next generation of mobile communications and smart transmission. Adaptive modulation transmission parameters dynamically adjusted based on the real-time status of the channel, and the different characteristics of the business, which can fully tap the potential for transmission of the system, improve the spectrum utilization to maximize the transmission capacity and the highest reliability. Adaptive transmission using signal the blind detection technology transceiver both information exchange in order to achieve, you can save the overhead of signaling important significance to improve the intelligence level of the receiver of the transmission parameters of the signal detection. In this paper, based on the idea of ??intelligent transmission, adaptive modulation signal blind detection technology exploratory study. The main content of this paper and the results are as follows: 1. Adaptive modulation parameters such as baud rate, signal-to-noise ratio and carrier phase estimation algorithm; estimation algorithm is proposed based on the baud rate of the modified Euclidean algorithm, this algorithm can burst packet wave special rate to make accurate estimates; propose a star QAM signal SNR estimation algorithm has good estimation performance at moderate SNR. 2. Of blind detection algorithm modulation adaptive single-carrier and multi-carrier modulation; narrowband channel the AQAM modulation principle and AQAM of modulation the best constellation diagram structure; adaptive single-carrier modulation in Rayleigh channel and the the Gauss channel, is proposed based on the order cumulants AQAM, and ADPSK modulation blind detection algorithm, the algorithm has a good detection performance. For adaptive multi-carrier modulation, we studied the principle of OFDM modulation and blind detection assisted-based adaptive OFDM, proposed a frequency selective fading channel AOFDM signal subchannel modulation blind detection algorithm and existing literature compared to prove the effectiveness and robustness of the algorithm. 3. Studied carrier synchronization and symbol timing synchronization with the blind modulation mode detection algorithm; adaptive single-carrier modulation schemes of higher order cumulants blind detection algorithm is proposed based on the frequency, carrier synchronization errors caused by frequency offset partial sound MDPSK signal modulation scheme blind detection algorithm; timing synchronization problem for the the unknown modulation scheme signal, presents a blind timing estimation algorithm, the algorithm can estimate the MDPSK and MQAM signal timing synchronization information, the synchronization segment of the digital signal; proposed an adaptive receiver structure based on the blind detection of the modulation scheme, the blind detection of the modulation mode, the SNR estimation and synchronous demodulation together to achieve the correct reception of the signal with the channel quality, and the adaptive change of the modulation scheme. 4. Modulation recognition classifier design, the first time the new results of the statistical learning theory - support vector machine applications in the communication signal modulation recognition; discuss the classification feature selection, the received signal wavelet features or higher-order statistics characteristics as identifying characteristics, signal modulation recognition using support vector machine classifier. The support vector machine to identify characteristics mapped to a high-dimensional space, and construct optimal identification in high-dimensional space the the hyperplane classification data, the communication signal modulation recognition. The method in the case of large signal-to-noise ratio variation range, the less training data to satisfactorily correct recognition rate can be achieved.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Signal processing
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