【摘要】：無(wú)線通信是現(xiàn)代軍事作戰(zhàn)的主要方式,為了使得通信能夠安全可靠的進(jìn)行,跳頻通信技術(shù)應(yīng)運(yùn)而生。跳頻通信技術(shù)因其優(yōu)越的特性,受到各國(guó)軍方的極度重視,各方都在積極的進(jìn)行對(duì)跳頻通信技術(shù)的研究,并且取得了巨大的進(jìn)步。由于實(shí)際的作戰(zhàn)環(huán)境比較復(fù)雜,截獲的信號(hào)中往往不只一個(gè)跳頻信號(hào),為了完成作戰(zhàn)使命,必須要將截獲到的混合信號(hào)分選開(kāi)來(lái),這樣便可以得知單個(gè)跳頻信號(hào)的有用信息。然而信號(hào)分選的效果則取決于跳頻信號(hào)參數(shù)估計(jì)結(jié)果的準(zhǔn)確性以及分選算法的優(yōu)劣,由此可知,跳頻信號(hào)的特征參數(shù)提取及分選于實(shí)際作戰(zhàn)應(yīng)用而言是至關(guān)重要的兩個(gè)方面,開(kāi)展對(duì)這兩個(gè)方面的研究具有深遠(yuǎn)的意義,本文將圍繞單天線接收和陣列天線接收兩個(gè)方向來(lái)展開(kāi)研究。在特征參數(shù)提取環(huán)節(jié),由于實(shí)際的通信環(huán)境比較復(fù)雜,通常存在著各種干擾信號(hào)及噪聲,因此需要首先進(jìn)行跳頻信號(hào)的預(yù)處理,對(duì)截獲的信號(hào)進(jìn)行時(shí)頻分析,然后將其灰度化,利用形態(tài)學(xué)處理方法來(lái)剔除干擾信號(hào)及噪聲,為后續(xù)工作的展開(kāi)提供了干凈的跳頻信號(hào);接下來(lái)著重分析研究了單天線接收情況下的基于二次差分算法和SDIF算法相結(jié)合的跳頻信號(hào)的參數(shù)估計(jì),以及陣列天線接收情況下的基于MUSIC算法的DOA估計(jì);最后經(jīng)由仿真實(shí)驗(yàn)證實(shí)了本文算法的準(zhǔn)確性以及有效性。在跳頻信號(hào)分選的環(huán)節(jié),針對(duì)不同的情況,本文分析研究了不同的分選算法。首先研究了基于濾波法的跳頻信號(hào)分選,用于處理不同跳頻信號(hào)的跳頻頻率集之間沒(méi)有交叉的情況,此方法的應(yīng)用雖然受限較大,但是在這種特定情況下能夠很好的對(duì)信號(hào)進(jìn)行分選,操作簡(jiǎn)單,效果良好;其次研究了基于時(shí)間到達(dá)法的信號(hào)分選方法,此方法計(jì)算量小,易于實(shí)時(shí)分選,但只能應(yīng)用于異步組網(wǎng)的情況;接著研究了基于時(shí)頻域信息和時(shí)頻空域信息的跳頻信號(hào)分選,利用CDIF算法和CT序列搜索相結(jié)合的方法實(shí)現(xiàn)了跳頻信號(hào)的分選;最后對(duì)基于聚類(lèi)的跳頻信號(hào)分選方法展開(kāi)了重點(diǎn)的研究,對(duì)幾種常見(jiàn)的聚類(lèi)算法的優(yōu)缺點(diǎn)進(jìn)行了分析比較,本文是在傳統(tǒng)KHM聚類(lèi)算法的基礎(chǔ)上進(jìn)行了改進(jìn),并且通過(guò)仿真實(shí)驗(yàn)驗(yàn)證了該算法的準(zhǔn)確性以及可行性。
[Abstract]:Wireless communication is the main way of modern military combat. In order to make communication safe and reliable, frequency hopping communication technology emerges as the times require. Because of its superior characteristics, frequency hopping communication technology has been attached great importance to by the military of various countries. All parties are actively carrying on the research on frequency hopping communication technology, and have made great progress. Because of the complexity of the actual combat environment, the intercepted signal usually contains more than one frequency hopping signal. In order to accomplish the combat mission, it is necessary to separate the intercepted mixed signals, so that the useful information of a single frequency hopping signal can be obtained. However, the effect of signal sorting depends on the accuracy of the parameters estimation results of frequency hopping signals and the advantages and disadvantages of sorting algorithms. Therefore, the extraction and sorting of the characteristic parameters of frequency hopping signals are two important aspects in practical combat applications. It is of great significance to carry out the research on these two aspects. This paper will focus on the single antenna receiving and the array antenna receiving. In the process of feature parameter extraction, due to the complexity of the actual communication environment, there are usually a variety of interference signals and noises, so it is necessary to pre-process the frequency-hopping signals, analyze the intercepted signals in time-frequency domain, and then turn them into grayscale. The method of morphological processing is used to eliminate the interference signal and noise, which provides a clean frequency hopping signal for the subsequent work. Then the parameter estimation of frequency hopping signal based on the combination of quadratic difference algorithm and SDIF algorithm in the case of single antenna receiving and the DOA estimation based on MUSIC algorithm in the case of receiving array antenna are analyzed and studied. Finally, the accuracy and effectiveness of the proposed algorithm are verified by simulation experiments. In the process of frequency hopping signal sorting, according to different conditions, different sorting algorithms are analyzed and studied in this paper. Firstly, the frequency hopping signal sorting based on filtering method is studied, which is used to process the frequency hopping frequency sets of different frequency hopping signals without crossover. Although the application of this method is very limited, But in this particular case, the signal can be sorted very well, the operation is simple, and the effect is good. Secondly, the signal sorting method based on time-arrival method is studied. This method is easy to be sorted in real-time, but it can only be used in asynchronous networking. Secondly, the frequency-hopping signal sorting based on time-frequency domain information and time-frequency domain information is studied. The sorting of frequency-hopping signal is realized by combining CDIF algorithm and CT sequence search. Finally, this paper focuses on the sorting method of frequency-hopping signals based on clustering, analyzes and compares the advantages and disadvantages of several common clustering algorithms, and improves on the basis of the traditional KHM clustering algorithm. The accuracy and feasibility of the algorithm are verified by simulation experiments.
【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】：2017
【分類(lèi)號(hào)】：TN914.41

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