雷達(dá)有源干擾信號(hào)識(shí)別方法研究與實(shí)現(xiàn)
本文選題:雷達(dá)有源干擾 + 識(shí)別。 參考:《北京理工大學(xué)》2014年碩士論文
【摘要】:隨著現(xiàn)代電子科學(xué)技術(shù)、雷達(dá)技術(shù)的不斷發(fā)展,雷達(dá)對(duì)抗已經(jīng)成為各國(guó)關(guān)注的焦點(diǎn),各國(guó)都在進(jìn)行有關(guān)雷達(dá)對(duì)抗的研究與實(shí)驗(yàn),投入的人力物力都在逐年提高。因此,能否準(zhǔn)確無(wú)誤地識(shí)別電磁空間中存在的干擾信號(hào),取得雷達(dá)對(duì)抗的勝利,影響乃至決定著整個(gè)戰(zhàn)爭(zhēng)的成敗。 本論文正是在上述背景下,以課題組在雷達(dá)信號(hào)處理方面多年積累的成果為基礎(chǔ),以目前常見(jiàn)的雷達(dá)有源干擾信號(hào)為對(duì)象,結(jié)合項(xiàng)目需求,研究雷達(dá)有源干擾信號(hào)的識(shí)別方法,用于引導(dǎo)雷達(dá)采取有針對(duì)性的抗干擾措施,提高雷達(dá)的抗干擾能力。本論文主要包括雷達(dá)有源干擾信號(hào)識(shí)別算法研究與雷達(dá)有源干擾信號(hào)識(shí)別方法設(shè)計(jì)與實(shí)現(xiàn)兩個(gè)部分。論文主要內(nèi)容包括分析雷達(dá)有源干擾信號(hào)干擾機(jī)理與時(shí)頻特征,依據(jù)特征參數(shù)設(shè)計(jì)基于數(shù)字信道化的識(shí)別方法,,最后實(shí)現(xiàn)基于DSP的雷達(dá)有源干擾信號(hào)識(shí)別軟件。研究結(jié)果如下: 1)對(duì)于常見(jiàn)壓制式有源干擾,可依據(jù)信號(hào)時(shí)域過(guò)門限時(shí)長(zhǎng)、頻域頻率分布規(guī)律等特征,結(jié)合雷達(dá)回波信號(hào)參數(shù),在信號(hào)檢測(cè)環(huán)節(jié)進(jìn)行識(shí)別。 2)對(duì)于常見(jiàn)欺騙式有源干擾,可依據(jù)檢測(cè)到的單周期脈沖描述字或周期間輻射源全脈沖描述字的變化規(guī)律,結(jié)合雷達(dá)工作狀態(tài)及雷達(dá)回波信號(hào)參數(shù)進(jìn)行識(shí)別。 3)對(duì)于常見(jiàn)雷達(dá)有源干擾信號(hào),可以使用數(shù)字信道化技術(shù),得到干擾信號(hào)的時(shí)頻域特征參數(shù)、脈沖描述字參數(shù),據(jù)此設(shè)計(jì)基于DSP的雷達(dá)常見(jiàn)有源干擾信號(hào)識(shí)別軟件。 本論文所設(shè)計(jì)的雷達(dá)有源干擾信號(hào)識(shí)別方法都通過(guò)了仿真測(cè)試與項(xiàng)目驗(yàn)證,具有較高識(shí)別率。本論文所設(shè)計(jì)的基于DSP的雷達(dá)常見(jiàn)有源干擾信號(hào)識(shí)別軟件,經(jīng)過(guò)了項(xiàng)目測(cè)試驗(yàn)證,具有強(qiáng)實(shí)用性與高可靠性。
[Abstract]:With the development of modern electronic technology and radar technology, radar countermeasure has become the focus of attention of all countries. All countries are carrying out research and experiments on radar countermeasure, and the manpower and material resources invested are increasing year by year. Therefore, whether we can accurately identify the jamming signals in electromagnetic space and win the radar countermeasure affects or even determines the success or failure of the whole war. Under the above background, based on the accumulated achievements in radar signal processing, this paper studies the recognition method of radar active jamming signal, which is based on the common radar active jamming signal. It is used to guide radar to take targeted anti-jamming measures to improve the anti-jamming capability of radar. This paper mainly includes two parts: the research of radar active jamming signal recognition algorithm and the design and realization of radar active jamming signal recognition method. The main contents of this paper include the analysis of jamming mechanism and time-frequency characteristics of radar active jamming signal, the design of recognition method based on digital channelization according to the characteristic parameters, and the realization of radar active jamming signal recognition software based on DSP. The findings are as follows: 1) for the common suppression active jamming, the signal can be recognized in signal detection according to the characteristics of time-domain crossing threshold and frequency distribution in frequency domain, combined with radar echo signal parameters. 2) for the common deceptive active jamming, we can identify the radar working state and the radar echo signal parameters according to the change rule of the detected single-period pulse description word or the full-pulse description word of the emitter source during the cycle. 3) for the common radar active jamming signal, the digital channelization technique can be used to obtain the characteristic parameters of the jamming signal in time-frequency domain and the parameters of the pulse description word. According to this, the recognition software of radar active jamming signal based on DSP is designed. The radar active jamming signal recognition methods designed in this paper have passed the simulation test and project verification, and have a high recognition rate. The common radar active jamming signal recognition software based on DSP has been tested and proved to be practical and reliable.
【學(xué)位授予單位】:北京理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN974
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