【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)測系統(tǒng)越來越多的被應用到監(jiān)測任務之中。監(jiān)測系統(tǒng)面臨的電磁環(huán)境越來越復雜,因此對監(jiān)測系統(tǒng)的功能需求也在不斷增加。在眾多的功能需求中,對信號調(diào)制類型的自動識別逐漸發(fā)展為監(jiān)測系統(tǒng)必備的功能之一。本文在監(jiān)測接收機系統(tǒng)硬件平臺上對調(diào)制識別功能進行了深入的研究,針對調(diào)制識別功能在系統(tǒng)DSP模塊中的實現(xiàn),本文主要進行了以下四部分的研究工作。首先針對監(jiān)測接收機系統(tǒng)進行了設(shè)計,其中包括DSP與PC和FPGA的通信機制,DSP中多任務時線程之間的調(diào)度,以及調(diào)制識別的工作模式。整個DSP系統(tǒng)內(nèi)部的線程本文采用了DSP/BIOS操作系統(tǒng)對其進行調(diào)度,文中詳細闡述了各個工作模式下線程的調(diào)度情況。整個接收機系統(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進行網(wǎng)絡通信。本文對調(diào)制識別算法進行了分析,采用了比較利于實現(xiàn)的數(shù)字混頻正交變換對信號的瞬時信息進行提取,再利用判決樹對信號的類型進行分類。在matlab中,利用接收機采集到的原始數(shù)據(jù)進行了仿真實驗,分析了7種信號的特征參數(shù)變化趨勢,并給出了可行的判決樹方案。最后討論了在系統(tǒng)實現(xiàn)時,針對該算法進行的適當調(diào)整并結(jié)合各種應用情況進行分析。接下來本文對整個系統(tǒng)運行時,可能會出現(xiàn)的系統(tǒng)不穩(wěn)定因素進行了分析,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)有的資源對異常情況的處理進行了研究,給出了系統(tǒng)自檢和異常處理的實現(xiàn)方案。最后,基于整個監(jiān)測接收機系統(tǒng)進行了集成聯(lián)調(diào)。其中包括對工作模式的測試,以及調(diào)制識別算法在系統(tǒng)中針對12種信號的識別率測試。測試結(jié)果表明調(diào)制識別算法在DSP中可以正常工作,同時能夠很好地對信號進行識別,在信噪比不小于10dB時系統(tǒng)的識別率在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.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN98

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本文編號：2197122