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Signal modulation recognition technology in the wireless communication system

Author: WangSuXia
Tutor: QinKaiYu
School: University of Electronic Science and Technology
Course: Control Theory and Control Engineering
Keywords: Modulated signal Modulation Recognition Characteristic parameters Higher order cumulants Wavelet Transform
CLC: TN92
Type: Master's thesis
Year: 2011
Downloads: 107
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Abstract


The modulation scheme is an important feature to distinguish the different nature of a communication signal, the automatic identification of the so-called modulation method is given the unknown piece of modulation information of the received signal under the premise, without human intervention can be judged that the communication signal modulation scheme , automatic modulation recognition, whether military the application or civilian or commercial applications are of great significance. The paper focuses on the problem of automatic recognition of signal modulation in the wireless communication system, the expected target is to obtain a stable performance, low complexity and versatility of the modulation recognition method. The conventional method were analyzed and summarized pointed out that the characteristics of each class methods and their shortcomings, and for the specific needs of the wireless communication system, the design of communications signal modulation recognition method. The main work of this paper the following aspects: First, the use of the traditional three characteristic parameters (σ max σ dp P) five commonly used analog signals (DSB AM, FM, LSB, USB) modulation recognition, the simulation results show that: the signal-to-noise ratio than 5dB, the recognition accuracy is greater than 92%. For the characteristic parameter σ dp is sensitive to noise, the proposed new characteristic parameter K replace the characteristic parameters σ dp in the signal-to-noise ratio is greater than 5dB, the correct rate In more than 98%. Secondly, the design of digital signal modulation recognition method using the traditional five characteristic parameters (σ dp σ ap the gamma max , σ < sub> af , σ aa ) digital modulation signal (2ASK 2FSK, 2PSK 4ASK 4FSK, 4PSK) of modulation recognition, simulation results show that, in the signal-to-noise ratio greater than 10dB identify the correct rate of 65%. For its recognition accuracy rate is relatively low in the low SNR, the introduction of higher order cumulants modulation recognition algorithm to construct the five characteristic parameters (t1, t2, t3, t4, t5) digital modulation signal (2ASK 4ASK, 2FSK 4FSK 4PSK 16QAM) modulation recognition, simulation results show that the signal-to-noise ratio is greater than 4dB, identify the correct rate of 100% in the low SNR still higher recognition accuracy. Finally, based on the instantaneous joint modulation recognition, if the recognition of the signal type is more characteristic parameters increases, decision tree series also increased, the correct rate is reduced. Propose the improved modulation identification method: the use of wavelet transform to achieve separation of analog and digital signals, analog and digital signals recognition. This reduces the progression of judgment, can effectively improve joint modulation recognition accuracy, and the simulation.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications
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