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基于機(jī)會輻射源的彈載無源探測關(guān)鍵技術(shù)研究

發(fā)布時(shí)間:2018-10-05 13:34
【摘要】:基于機(jī)會輻射源的無源探測技術(shù)具有先天的抗反輻射導(dǎo)彈、反隱身、反低空突防和抗電子干擾的"四抗"能力,因而在現(xiàn)代戰(zhàn)場中具有極大的應(yīng)用價(jià)值;跈C(jī)會輻射源的彈載無源探測技術(shù)鮮有報(bào)道,本文主要從機(jī)會輻射源的選取、雜波干擾抑制和目標(biāo)定位三個(gè)方面對該技術(shù)的關(guān)鍵問題進(jìn)行研究,概括如下:(1)首先深入研究現(xiàn)有無源探測系統(tǒng)模型,結(jié)合彈載平臺在高空高速運(yùn)動(dòng)、單次工作橫跨區(qū)域范圍廣、工作地點(diǎn)不固定的特點(diǎn),以海面大型船只作為目標(biāo)為例,建立了基于機(jī)會輻射源的彈載無源探測模型,并確定了本文研究的關(guān)鍵技術(shù)內(nèi)容;(2)針對機(jī)會輻射源選取,確立了其選取的原則:覆蓋范圍要廣、輻射能量要大、波形特征要好;通過上述原則彈載無源探測器選定全球覆蓋的BDS信號作為輻射源,通過0.5232s積分即實(shí)現(xiàn)對100公里遠(yuǎn)處船只目標(biāo)進(jìn)行探測,并且獲得較好的分辨力;(3)針對彈載無源探測系統(tǒng)的雜波干擾抑制,分別提出了基于信號重構(gòu)的直達(dá)波干擾抑制方法和基于奇異值分解的海雜波抑制方法:前者通過對直達(dá)波信號進(jìn)行重構(gòu)提純,在直達(dá)波信噪比為-1dB的條件下將直達(dá)波干擾信號成功抑制;后者通過對目標(biāo)信號構(gòu)造的Hankel矩陣進(jìn)行奇異值分解、跟蹤和歸零即完成對海雜波的抑制,成功實(shí)現(xiàn)目標(biāo)探測;(4)針對彈載無源定位,提出了以三發(fā)單收TDOA定位為主、單發(fā)單收DOA-TDOA聯(lián)合定位為輔的定位方式:利用GDOP對兩種定位方式的定位精度進(jìn)行分析;仿真結(jié)果顯示,在一般條件下,對100公里遠(yuǎn)的目標(biāo)上述定位方式分別最高可獲得920m和2km的定位精度;贛ATLAB軟件完成了基于BDS的彈載無源探測仿真軟件系統(tǒng),通過該軟件在給定條件下對彈載無源探測系統(tǒng)進(jìn)行仿真實(shí)驗(yàn),結(jié)果表明,彈載無源探測系統(tǒng)以BDS信號作為機(jī)會輻射源對目標(biāo)進(jìn)行探測與定位是可行的。
[Abstract]:The passive detection technology based on opportunistic emitter has innate anti-radiation missile, anti-stealth, anti-low-altitude penetration and anti-electronic interference, so it has great application value in modern battlefield. Passive detection technology based on opportunity emitter is rarely reported. This paper mainly studies the key problems of this technology from three aspects: the selection of opportunity emitter, the suppression of clutter interference and the location of target. The following are summarized as follows: (1) the existing passive detection system models are studied in depth. Combined with the high altitude and high speed motion of the projectile platform, the single work spans a wide range of areas, and the working place is not fixed. Taking large vessels on the sea as an example, The passive detection model of projectile based on opportunity emitter is established, and the key technical contents of this paper are determined. (2) aiming at the selection of opportunity emitter, the selection principle is established: wide coverage, large radiation energy, good waveform characteristics; Based on the above principle, the BDS signal with global coverage is selected as the emitter source, and the ship target at a distance of 100km is detected by 0.5232s integral. And good resolution is obtained. (3) clutter interference suppression for missile passive detection system. A direct wave interference suppression method based on signal reconstruction and a sea clutter suppression method based on singular value decomposition are proposed. The direct wave interference signal is successfully suppressed when the SNR of the direct wave is -1dB, and the latter performs the suppression of sea clutter by the singular value decomposition of the Hankel matrix constructed by the target signal, tracking and returning to zero. (4) aiming at passive location of projectile, this paper puts forward a positioning method, which is based on three-send single receiving TDOA location, with single send and single receiving DOA-TDOA as auxiliary positioning. The positioning accuracy of two kinds of positioning methods is analyzed by using GDOP, and the simulation results show that the positioning accuracy of the two positioning methods is analyzed, and the simulation results show that the positioning accuracy of the two kinds of positioning methods is analyzed. Under general conditions, the positioning accuracy of 920m and 2km can be obtained respectively for the target with 100km distance. Based on MATLAB software, the simulation software system of missile passive detection based on BDS is completed. The simulation experiment of passive detection system is carried out under given conditions. The results show that, It is feasible to detect and locate targets with BDS signal as an opportunity emitter in missile passive detection system.
【學(xué)位授予單位】:南京理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN957.51

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