【摘要】：伴隨著無線電技術(shù)的快速發(fā)展,為了更有效率地利用和管理無線電頻譜資源,無線電頻譜監(jiān)測(cè)系統(tǒng)越來越多的被應(yīng)用到監(jiān)測(cè)任務(wù)之中。監(jiān)測(cè)系統(tǒng)面臨的電磁環(huán)境越來越復(fù)雜,因此對(duì)監(jiān)測(cè)系統(tǒng)的功能需求也在不斷增加。在眾多的功能需求中,對(duì)信號(hào)調(diào)制類型的自動(dòng)識(shí)別逐漸發(fā)展為監(jiān)測(cè)系統(tǒng)必備的功能之一。本文在監(jiān)測(cè)接收機(jī)系統(tǒng)硬件平臺(tái)上對(duì)調(diào)制識(shí)別功能進(jìn)行了深入的研究,針對(duì)調(diào)制識(shí)別功能在系統(tǒng)DSP模塊中的實(shí)現(xiàn),本文主要進(jìn)行了以下四部分的研究工作。首先針對(duì)監(jiān)測(cè)接收機(jī)系統(tǒng)進(jìn)行了設(shè)計(jì),其中包括DSP與PC和FPGA的通信機(jī)制,DSP中多任務(wù)時(shí)線程之間的調(diào)度,以及調(diào)制識(shí)別的工作模式。整個(gè)DSP系統(tǒng)內(nèi)部的線程本文采用了DSP/BIOS操作系統(tǒng)對(duì)其進(jìn)行調(diào)度,文中詳細(xì)闡述了各個(gè)工作模式下線程的調(diào)度情況。整個(gè)接收機(jī)系統(tǒng)的通信接口分別是利用McBSP和GPIO與FPGA通信,利用TCP/IP協(xié)議與PC進(jìn)行網(wǎng)絡(luò)通信。本文對(duì)調(diào)制識(shí)別算法進(jìn)行了分析,采用了比較利于實(shí)現(xiàn)的數(shù)字混頻正交變換對(duì)信號(hào)的瞬時(shí)信息進(jìn)行提取,再利用判決樹對(duì)信號(hào)的類型進(jìn)行分類。在matlab中,利用接收機(jī)采集到的原始數(shù)據(jù)進(jìn)行了仿真實(shí)驗(yàn),分析了7種信號(hào)的特征參數(shù)變化趨勢(shì),并給出了可行的判決樹方案。最后討論了在系統(tǒng)實(shí)現(xiàn)時(shí),針對(duì)該算法進(jìn)行的適當(dāng)調(diào)整并結(jié)合各種應(yīng)用情況進(jìn)行分析。接下來本文對(duì)整個(gè)系統(tǒng)運(yùn)行時(shí),可能會(huì)出現(xiàn)的系統(tǒng)不穩(wěn)定因素進(jìn)行了分析,包括器件本身存在的問題,和程序可能出現(xiàn)的異常情況。利用系統(tǒng)現(xiàn)有的資源對(duì)異常情況的處理進(jìn)行了研究,給出了系統(tǒng)自檢和異常處理的實(shí)現(xiàn)方案。最后,基于整個(gè)監(jiān)測(cè)接收機(jī)系統(tǒng)進(jìn)行了集成聯(lián)調(diào)。其中包括對(duì)工作模式的測(cè)試,以及調(diào)制識(shí)別算法在系統(tǒng)中針對(duì)12種信號(hào)的識(shí)別率測(cè)試。測(cè)試結(jié)果表明調(diào)制識(shí)別算法在DSP中可以正常工作,同時(shí)能夠很好地對(duì)信號(hào)進(jìn)行識(shí)別,在信噪比不小于10dB時(shí)系統(tǒng)的識(shí)別率在91%以上。
[Abstract]:With the rapid development of radio technology, in order to use and manage radio spectrum resources more and more efficiently, radio spectrum monitoring system is more and more used in monitoring tasks. The electromagnetic environment of the monitoring system is becoming more and more complex, so the functional requirements of the monitoring system are also increasing. Among the many functional requirements, automatic recognition of signal modulation types has gradually developed into one of the essential functions of the monitoring system. In this paper, the modulation recognition function is deeply studied on the hardware platform of the monitoring receiver system. Aiming at the realization of the modulation recognition function in the DSP module of the system, the following four parts of research work are mainly carried out in this paper. First of all, the monitoring receiver system is designed, which includes the scheduling of multi-task threads in DSP, PC and FPGA communication mechanism, and the mode of modulation identification. The threads in the whole DSP system are scheduled by the DSP/BIOS operating system in this paper, and the scheduling of the threads in each working mode is described in detail. The communication interface of the whole receiver system is to use McBSP and GPIO to communicate with FPGA, and to communicate with PC by TCP/IP protocol. In this paper, the modulation recognition algorithm is analyzed, the digital mixing orthogonal transform is used to extract the instantaneous information of the signal, and then the type of the signal is classified by the decision tree. In matlab, the simulation experiment is carried out with the raw data collected by the receiver, and the change trend of the characteristic parameters of seven signals is analyzed, and a feasible decision tree scheme is given. Finally, the proper adjustment of the algorithm and its application are discussed. Then this paper analyzes the system instability factors which may occur when the whole system is running, including the problems existing in the device itself and the abnormal situation that may occur in the program. Based on the existing resources of the system, the processing of abnormal cases is studied, and the realization scheme of system self-checking and exception handling is given. Finally, the integrated tuning is carried out based on the whole monitoring receiver system. It includes the test of working mode and the recognition rate test of modulation recognition algorithm for 12 kinds of signals in the system. The test results show that the modulation recognition algorithm can work normally in DSP and can recognize the signal well. The recognition rate of the system is more than 91% when the SNR is not less than 10dB.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN98

【參考文獻(xiàn)】

中國(guó)博士學(xué)位論文全文數(shù)據(jù)庫(kù) 前1條

1 徐毅瓊;數(shù)字通信信號(hào)自動(dòng)調(diào)制識(shí)別技術(shù)研究[D];解放軍信息工程大學(xué);2011年

中國(guó)碩士學(xué)位論文全文數(shù)據(jù)庫(kù) 前1條

1 徐婷;網(wǎng)絡(luò)化數(shù)字監(jiān)測(cè)接收機(jī)信號(hào)處理算法研究及DSP實(shí)現(xiàn)[D];電子科技大學(xué);2012年

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本文編號(hào)：2197122