步進(jìn)頻雷達(dá)低空環(huán)境感知與監(jiān)控軟件開發(fā)
發(fā)布時(shí)間：2018-10-17 13:21
【摘要】：隨著我國(guó)低空環(huán)境的進(jìn)一步開放,低空飛行器數(shù)量明顯增多,低空飛行環(huán)境日益復(fù)雜,對(duì)低空環(huán)境感知技術(shù)的需求日益迫切。針對(duì)低空環(huán)境靜止場(chǎng)景的感知問題,展開了步進(jìn)頻雷達(dá)目標(biāo)距離維高分辨成像方法的研究。傳統(tǒng)的獲取步進(jìn)頻雷達(dá)高分辨一維距離像的方法需要繁瑣的去冗余處理,針對(duì)該問題,本文采用合成帶寬法來獲取步進(jìn)頻體制下目標(biāo)的高分辨一維距離像。該方法具體步驟如下:首先選取一幀完整的回波,并對(duì)單個(gè)脈沖進(jìn)行升采樣操作;然后對(duì)回波進(jìn)行脈沖壓縮處理;之后對(duì)脈沖進(jìn)行頻譜搬移操作;最后由頻譜搬移結(jié)果合成一個(gè)等效的大帶寬信號(hào)。仿真數(shù)據(jù)處理結(jié)果表明,在低信噪比情況下,合成帶寬法對(duì)目標(biāo)的檢測(cè)性能較之于傳統(tǒng)的選大法、累加法等有明顯優(yōu)勢(shì)。針對(duì)低空環(huán)境運(yùn)動(dòng)場(chǎng)景的感知問題,展開了強(qiáng)弱運(yùn)動(dòng)目標(biāo)成像方法的研究,提出了基于幀間互相關(guān)速度搜索的多運(yùn)動(dòng)目標(biāo)成像方法。該方法分兩次得到運(yùn)動(dòng)目標(biāo)的參數(shù)估計(jì)結(jié)果。第一次速度估計(jì)過程如下:首先對(duì)回波數(shù)據(jù)進(jìn)行幀間互相關(guān)操作,以實(shí)現(xiàn)距離-速度的解耦和;然后在對(duì)幀間互相關(guān)結(jié)果進(jìn)行幀內(nèi)包絡(luò)非相干積累的基礎(chǔ)上,依據(jù)3dB原則挑選有效樣本,并由有效樣本構(gòu)造速度搜索協(xié)方差矩陣;之后對(duì)協(xié)方差矩陣進(jìn)行特征值分解,并由單次快拍方法得到運(yùn)動(dòng)目標(biāo)的速度譜;最后通過峰值搜索得到運(yùn)動(dòng)目標(biāo)的第一次速度估計(jì)結(jié)果。進(jìn)行第二次速度估計(jì)時(shí),首先利用第一次速度估計(jì)結(jié)果對(duì)原始回波進(jìn)行速度補(bǔ)償和距離徙動(dòng)校正,然后對(duì)校正結(jié)果進(jìn)行脈沖壓縮處理,之后對(duì)脈壓結(jié)果進(jìn)行幀內(nèi)距離合成,最后對(duì)合成結(jié)果進(jìn)行幀間FFT成像,由成像結(jié)果的多普勒偏移得到速度估計(jì)殘差,進(jìn)而得到第二次速度估計(jì)結(jié)果。利用第二次速度估計(jì)結(jié)果對(duì)原始回波進(jìn)行速度補(bǔ)償、距離徙動(dòng)校正,在完成脈沖壓縮、幀內(nèi)距離合成及幀間FFT操作后,得到最終的成像結(jié)果。通過對(duì)最終成像結(jié)果的搜索得到運(yùn)動(dòng)目標(biāo)的初始位置信息。為了避免當(dāng)前強(qiáng)目標(biāo)的影響,提出了一種基于正交投影的強(qiáng)目標(biāo)抑制方法,該方法利用第二次速度估計(jì)結(jié)果構(gòu)造正交投影矩陣,對(duì)幀間互相關(guān)后的數(shù)據(jù)進(jìn)行投影處理,實(shí)現(xiàn)了對(duì)當(dāng)前強(qiáng)目標(biāo)的抑制。該方法具有速度估計(jì)精度高,速度不模糊范圍大,成像聚焦效果好等優(yōu)點(diǎn)。針對(duì)多源感知集成顯示的問題,開發(fā)了低空環(huán)境多源傳感器協(xié)同探測(cè)地面監(jiān)控軟件。該軟件采用服務(wù)器-客戶端模式,其中,客戶端為各個(gè)傳感器,服務(wù)器為地面顯示基站;為保障傳輸過程中數(shù)據(jù)的安全性及有序性,采用面向鏈接的方式進(jìn)行數(shù)據(jù)傳輸;編程平臺(tái)選用VC6.0;網(wǎng)絡(luò)通信編程實(shí)現(xiàn)采用套接字技術(shù);為了確保數(shù)據(jù)傳輸不影響到其他操作,采用多線程編程方法。該軟件實(shí)現(xiàn)了多源探測(cè)結(jié)果的并行、動(dòng)態(tài)顯示。
[Abstract]:With the further opening of low-altitude environment in our country, the number of low-altitude aircraft is increasing obviously, the low-altitude flying environment is becoming more and more complex, and the need for low-altitude environment sensing technology is becoming more and more urgent. Aiming at the problem of perception of stationary scene in low altitude environment, the high resolution imaging method for target range of stepped frequency radar is studied. The traditional method of obtaining high-resolution one-dimensional range profile of stepping frequency radar needs tedious de-redundancy processing. In order to solve this problem, the synthetic bandwidth method is used to obtain the high-resolution one-dimensional range profile of target in step frequency system. The specific steps of the method are as follows: firstly, a frame of complete echo is selected and a single pulse is raised and sampled; then, the echo is processed by pulse compression, and then the pulse spectrum is moved. Finally, an equivalent large bandwidth signal is synthesized from the result of spectrum shift. The results of simulation data processing show that the performance of the synthetic bandwidth method is better than that of the traditional selection method and the accumulative method in the case of low signal-to-noise ratio (SNR). Aiming at the problem of perception of moving scenes in low altitude environment, the imaging method of strong and weak moving targets is studied, and a multi-moving target imaging method based on inter-frame cross-correlation velocity search is proposed. In this method, the parameter estimation results of moving targets are obtained in two stages. The first velocity estimation process is as follows: firstly, the echo data is cross-correlated between frames to realize the distance velocity decoupling, and then based on the intra envelope incoherent accumulation of the inter-frame cross-correlation results, The effective samples are selected according to the 3dB principle, and the velocity search covariance matrix is constructed from the effective samples, then the eigenvalue decomposition of the covariance matrix is carried out, and the velocity spectrum of the moving target is obtained by the single shot method. Finally, the first velocity estimation result of moving target is obtained by peak search. In the second velocity estimation, the first velocity estimation results are used to compensate the original echo and the range migration correction, then the correction results are processed by pulse compression, and then the pulse compression results are synthesized by intra-frame distance synthesis. Finally, the composite results are imaged by inter-frame FFT imaging, and the velocity estimation residuals are obtained from the Doppler migration of the imaging results, and then the second velocity estimation results are obtained. The velocity compensation and range migration correction of the original echo are carried out by using the second velocity estimation result. The final imaging results are obtained after the pulse compression, intra-frame distance synthesis and inter-frame FFT operation are completed. The initial position information of the moving target is obtained by searching the final imaging results. In order to avoid the influence of the current strong targets, a strong target suppression method based on orthogonal projection is proposed. The orthogonal projection matrix is constructed by using the second velocity estimation result, and the cross-correlation data between frames are projected. The suppression of the current strong target is realized. This method has the advantages of high accuracy of velocity estimation, wide range of velocity nonblur, good imaging focusing effect and so on. In order to solve the problem of multi-source sensing integrated display, a ground monitoring software for multi-source sensor cooperative detection in low altitude environment is developed. The software adopts the server-client mode, in which the client is each sensor and the server is the ground display base station, in order to ensure the security and order of the data in the transmission process, the data transmission is carried out in the way of link oriented. In order to ensure that the data transmission does not affect other operations, the multi-thread programming method is adopted. The software realizes the parallel and dynamic display of multi-source detection results.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.52
本文編號(hào)：2276789
[Abstract]:With the further opening of low-altitude environment in our country, the number of low-altitude aircraft is increasing obviously, the low-altitude flying environment is becoming more and more complex, and the need for low-altitude environment sensing technology is becoming more and more urgent. Aiming at the problem of perception of stationary scene in low altitude environment, the high resolution imaging method for target range of stepped frequency radar is studied. The traditional method of obtaining high-resolution one-dimensional range profile of stepping frequency radar needs tedious de-redundancy processing. In order to solve this problem, the synthetic bandwidth method is used to obtain the high-resolution one-dimensional range profile of target in step frequency system. The specific steps of the method are as follows: firstly, a frame of complete echo is selected and a single pulse is raised and sampled; then, the echo is processed by pulse compression, and then the pulse spectrum is moved. Finally, an equivalent large bandwidth signal is synthesized from the result of spectrum shift. The results of simulation data processing show that the performance of the synthetic bandwidth method is better than that of the traditional selection method and the accumulative method in the case of low signal-to-noise ratio (SNR). Aiming at the problem of perception of moving scenes in low altitude environment, the imaging method of strong and weak moving targets is studied, and a multi-moving target imaging method based on inter-frame cross-correlation velocity search is proposed. In this method, the parameter estimation results of moving targets are obtained in two stages. The first velocity estimation process is as follows: firstly, the echo data is cross-correlated between frames to realize the distance velocity decoupling, and then based on the intra envelope incoherent accumulation of the inter-frame cross-correlation results, The effective samples are selected according to the 3dB principle, and the velocity search covariance matrix is constructed from the effective samples, then the eigenvalue decomposition of the covariance matrix is carried out, and the velocity spectrum of the moving target is obtained by the single shot method. Finally, the first velocity estimation result of moving target is obtained by peak search. In the second velocity estimation, the first velocity estimation results are used to compensate the original echo and the range migration correction, then the correction results are processed by pulse compression, and then the pulse compression results are synthesized by intra-frame distance synthesis. Finally, the composite results are imaged by inter-frame FFT imaging, and the velocity estimation residuals are obtained from the Doppler migration of the imaging results, and then the second velocity estimation results are obtained. The velocity compensation and range migration correction of the original echo are carried out by using the second velocity estimation result. The final imaging results are obtained after the pulse compression, intra-frame distance synthesis and inter-frame FFT operation are completed. The initial position information of the moving target is obtained by searching the final imaging results. In order to avoid the influence of the current strong targets, a strong target suppression method based on orthogonal projection is proposed. The orthogonal projection matrix is constructed by using the second velocity estimation result, and the cross-correlation data between frames are projected. The suppression of the current strong target is realized. This method has the advantages of high accuracy of velocity estimation, wide range of velocity nonblur, good imaging focusing effect and so on. In order to solve the problem of multi-source sensing integrated display, a ground monitoring software for multi-source sensor cooperative detection in low altitude environment is developed. The software adopts the server-client mode, in which the client is each sensor and the server is the ground display base station, in order to ensure the security and order of the data in the transmission process, the data transmission is carried out in the way of link oriented. In order to ensure that the data transmission does not affect other operations, the multi-thread programming method is adopted. The software realizes the parallel and dynamic display of multi-source detection results.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.52
【參考文獻(xiàn)】
相關(guān)博士學(xué)位論文 前1條
1 張煥穎;高速運(yùn)動(dòng)目標(biāo)ISAR成像方法研究[D];西安電子科技大學(xué);2007年
，本文編號(hào)：2276789
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