【摘要】：目前,雷達(dá)已與通信、導(dǎo)航、電子對(duì)抗等系統(tǒng)融為一體,成為高技術(shù)信息戰(zhàn)場中的重要角色。一批新體制雷達(dá)系統(tǒng)別樹一幟,并且與傳統(tǒng)的常規(guī)雷達(dá)系統(tǒng)相比,在雷達(dá)發(fā)射波形、收發(fā)天線數(shù)、信號(hào)處理流程等方面都有明顯的區(qū)別。新體制雷達(dá)抗截獲能力得到提高,無疑給電子偵察帶來了巨大的挑戰(zhàn),使軍方獲取信息的能力和各系統(tǒng)聯(lián)合作戰(zhàn)的對(duì)抗方式與手段正在發(fā)生變革。多輸入多輸出(Multiple Input Multiple Output,MIMO)雷達(dá)正是在這一新的軍事需求背景下誕生的一種新體制雷達(dá),受到了各國科研人員越來越多的關(guān)注。本論文正是針對(duì)上述問題,建立了三種不同調(diào)制類型的MIMO雷達(dá)信號(hào)模型,分析并總結(jié)了各子載波信號(hào)間的關(guān)系以及在不同變換域特征,并以此為基礎(chǔ)提出了低信噪比下MIMO雷達(dá)參數(shù)估計(jì)及識(shí)別算法。主要內(nèi)容為:1.分析了MIMO雷達(dá)低信噪比特點(diǎn)和三種常用的MIMO雷達(dá)信號(hào)的時(shí)域、頻域及時(shí)頻域特征。同時(shí),分別建立了針對(duì)集中式MIMO雷達(dá)信號(hào)和分布式MIMO雷達(dá)信號(hào)的偵察模型,為后續(xù)信號(hào)識(shí)別及參數(shù)估計(jì)奠定基礎(chǔ)。2.首先采用時(shí)域檢測、頻域檢測及時(shí)頻域檢測方法對(duì)集中式MIMO雷達(dá)信號(hào)和分布式MIMO雷達(dá)信號(hào)的檢測性能進(jìn)行了探討。然后,針對(duì)簡單脈沖MIMO雷達(dá)信號(hào)(Monopulse-MIMO,MP-MIMO)及線性調(diào)頻MIMO雷達(dá)信號(hào)(Linear Frequency Modulation-MIMO,LFM-MIMO),提出了基于子載波合并的參數(shù)估計(jì)算法。該方法利用MIMO雷達(dá)信號(hào)的波形分集特征,采用多個(gè)子載波合并的方式提高接收信號(hào)的信噪比(Signal to Noise Ratio,SNR)。仿真驗(yàn)證了算法的有效性,且該算法能適應(yīng)更低的SNR環(huán)境。3.提出了基于圖像處理的集中式MIMO雷達(dá)信號(hào)識(shí)別方法。該方法利用不同調(diào)制類型的集中式MIMO雷達(dá)信號(hào)循環(huán)譜和時(shí)頻譜的差異,采用圖像處理的方法對(duì)噪聲進(jìn)行抑制,并從中提取出用于識(shí)別的特征參數(shù)將不同調(diào)制類型的集中式MIMO雷達(dá)信號(hào)與常規(guī)雷達(dá)信號(hào)區(qū)別開,并進(jìn)行了仿真驗(yàn)證了算法的有效性。4.提出了基于信息決策的分布式MIMO雷達(dá)體制識(shí)別方法。該方法根據(jù)分布式MIMO雷達(dá)各子載波信號(hào)間的關(guān)系,并以此作為基礎(chǔ),對(duì)截獲到的各類雷達(dá)信號(hào)的輻射源描述字(Emitter Description Word,EDW)進(jìn)行信息決策,從中識(shí)別出分布式MIMO雷達(dá)。
[Abstract]:At present, radar has been integrated with communication, navigation, electronic countermeasures and other systems, and has become an important role in high-tech information battlefield. A group of new radar systems are different from conventional radar systems, and there are obvious differences in radar waveform, antenna number, signal processing flow and so on. The enhancement of the anti-interception capability of the new radar undoubtedly brings a great challenge to the electronic reconnaissance and changes the ability of the military to obtain information and the ways and means of the joint operations of various systems. Multi-input multiple-output (Multiple Input Multiple Output,MIMO) radar is a kind of new system radar which is born under the background of this new military requirement and has attracted more and more attention from researchers in many countries. In this paper, three kinds of MIMO radar signal models with different modulation types are established, and the relationship between each subcarrier signal and the characteristics in different transform domain are analyzed and summarized. Based on this, a parameter estimation and recognition algorithm for MIMO radar with low SNR is proposed. The main contents are as follows: 1. The characteristics of low signal-to-noise ratio (SNR) of MIMO radar and the time-domain and frequency-domain characteristics of three commonly used MIMO radar signals are analyzed. At the same time, the reconnaissance models of centralized MIMO radar signal and distributed MIMO radar signal are established respectively, which lays a foundation for the subsequent signal identification and parameter estimation. 2. Firstly, the detection performance of centralized MIMO radar signal and distributed MIMO radar signal is discussed by time-domain detection and frequency-domain detection. Then, a parameter estimation algorithm based on subcarrier combination is proposed for simple pulse MIMO radar signal (Monopulse-MIMO,MP-MIMO) and linear frequency modulated MIMO radar signal (Linear Frequency Modulation-MIMO,LFM-MIMO). In this method, the signal to noise ratio (Signal to Noise Ratio,SNR) of the received signal is improved by using the waveform diversity feature of the MIMO radar signal and the combination of multiple subcarriers. Simulation results show that the algorithm is effective and can adapt to lower SNR environment. 3. 3. A centralized MIMO radar signal recognition method based on image processing is proposed. This method utilizes the difference between cyclic spectrum and time spectrum of centralized MIMO radar signal with different modulation types, and uses image processing method to suppress the noise. The characteristic parameters for identification are extracted to distinguish the centralized MIMO radar signal with different modulation types from the conventional radar signal, and the simulation results show that the algorithm is effective. 4. A distributed MIMO radar system recognition method based on information decision is proposed. Based on the relationship among the sub-carrier signals of distributed MIMO radar, the information decision is made on the emitter description word (Emitter Description Word,EDW) of the captured radar signals, and the distributed MIMO radar is identified.
【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
【分類號(hào)】：TN957.51

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本文編號(hào)：2420914