主瓣內(nèi)外干擾同時抑制的分維測向算法
發(fā)布時間：2018-10-29 16:44
【摘要】：干擾抑制是信源定位和跟蹤首要解決的難題,針對旁瓣干擾,使用自適應波束形成技術(shù)的各種準則和方法對其具有良好的抑制效果。然而,當干擾從主波束進入,常見的各種抗旁瓣干擾方法均會在主波束干擾位置上形成深零點,使主波束指向偏移,主波束畸變,旁瓣電平明顯抬高,從而影響目標的測向精度和跟蹤精度。針對存在主瓣干擾的情況,本文以平面相控陣為研究平臺,重點研究了主瓣內(nèi)外干擾同時存在時干擾的抑制及測向算法,主要的研究內(nèi)容為:首先,研究了平面陣下主瓣干擾抑制及方向圖保形算法。針對一般的自適應波束形成方法會惡化波束的性能這種狀況,介紹了融合數(shù)據(jù)預處理、自適應波束形成和方向圖保形三種技術(shù)于一體的三種主瓣干擾抑制及方向圖保形方法。通過在自適應波束形成方法前進行預處理,即先估計出主瓣干擾方位信息,接著根據(jù)估計出的方位信息對主瓣干擾進行預處理,然后將方向圖保形策略加入一般自適應波束形成方法,確保干擾調(diào)零效果的同時使得主波束形狀在干擾抑制后仍能保持,最后利用仿真實驗對上述介紹的算法進行性能分析和說明。其次,研究了平面陣分維等效干擾抑制和方向圖保形算法。結(jié)合分維處理技術(shù)和主瓣干擾抑制技術(shù),提出一種分維等效自適應干擾抑制及方向圖保形算法。將全陣所有陣元分維劃分后自適應等效為俯仰維和方位維的均勻線陣,從而將平面陣數(shù)據(jù)處理轉(zhuǎn)化為兩個均勻線陣的數(shù)據(jù)處理。先對兩個均勻線陣分別構(gòu)造主瓣干擾阻塞矩陣后運用常規(guī)的抗旁瓣干擾方法,在干擾抑制的同時加入方向圖保形策略,對主波束進行保形,從而保證在主瓣內(nèi)外干擾同時抑制的前提下保持主波束的性能。該方法的抗干擾性能和方向圖保形效果用仿真實驗進行了深入分析。最后,研究了降維四通道GSC干擾抑制及干擾測向算法。在和通道、俯仰差通道、方位差通道的基礎上增加一個雙差通道構(gòu)成四通道,將降維四通道單脈沖系統(tǒng)和廣義旁瓣相消器相結(jié)合,提出了一種降維四通道GSC干擾抑制及測向算法。針對大型平面相控陣,通過對陣列進行子陣劃分,實現(xiàn)降維處理,降維處理后進行四通道和差波束形成,分別構(gòu)造四個通道的干擾阻塞矩陣,對四個通道進行四通道GSC處理抑制旁瓣干擾;接著分維處理主瓣干擾,即在保證某一維(俯仰維或方位維)非自適應的情況下,對另一正交維進行自適應和差波束形成抑制干擾。仿真實驗和性能分析結(jié)果表明,這種算法具有良好的干擾抑制效果和保形效果,且測向精度高。
[Abstract]:Interference suppression is one of the most important problems in source location and tracking. For sidelobe interference, adaptive beamforming techniques are used to suppress the sidelobe interference. However, when the interference enters from the main beam, the common anti-sidelobe interference methods will form a deep zero point on the main beam interference position, which will make the main beam point offset, the main beam distortion, and the sidelobe level obviously elevated. Thus the direction finding accuracy and tracking accuracy of the target are affected. In view of the existence of main lobe interference, this paper takes planar phased array as the research platform, focuses on the suppression of interference and direction finding algorithm when the main lobe interference exists simultaneously. The main research contents are as follows: first of all, The main lobe interference suppression and pattern preserving algorithm for planar array are studied. In view of the fact that the general adaptive beamforming method can worsen the beam-forming performance, this paper introduces three main lobe interference suppression and pattern preserving methods, which include fusion data preprocessing, adaptive beamforming and pattern preserving. By preprocessing the adaptive beamforming method, the main lobe interference azimuth information is estimated first, and then the main lobe interference is preprocessed according to the estimated azimuth information. Then the pattern preserving strategy is added to the general adaptive beamforming method to ensure the interference zeroing effect and to maintain the shape of the winner beam after interference suppression. Finally, the performance of the algorithm is analyzed and explained by simulation experiment. Secondly, the fractal equivalent interference suppression and pattern preserving algorithm of planar array are studied. Combined with fractal dimension processing technique and principal lobe interference suppression technique, a fractal equivalent adaptive interference suppression and pattern preserving algorithm is proposed. After dividing the fractal dimensions of all the elements of the whole array, the adaptive method is equivalent to the uniform linear array with pitch and azimuth dimensions, so that the data processing of the plane array can be transformed into the data processing of two uniform linear arrays. Firstly, the main lobe interference blocking matrix is constructed for two uniform linear arrays, and then the conventional anti-sidelobe interference method is used to preserve the shape of the main beam by adding the pattern conserving strategy to the interference suppression at the same time. Thus, the performance of the main beam can be maintained on the premise of simultaneous suppression of the main lobe and the interference inside and outside the main lobe. The anti-jamming performance and shape-preserving effect of this method are analyzed by simulation experiments. Finally, four channel GSC interference suppression and direction finding algorithms are studied. On the basis of channel, pitch difference channel and azimuth difference channel, a double differential channel is added to form four channels, which combines the reduced dimension four channel monopulse system with the generalized sidelobe canceller. A dimensionally reduced four channel GSC interference suppression and direction finding algorithm is proposed. For large planar phased array, by subarray division, dimension reduction processing is realized. After dimensionality reduction processing, four channels and differential beamforming are carried out, respectively, the interference blocking matrix of four channels is constructed. Four channel GSC was used to suppress sidelobe interference. Then the fractal dimension deals with the interference of the main lobe, that is, the interference is suppressed by adaptive and differential beamforming for another orthogonal dimension under the condition that one dimension (pitch dimension or azimuth dimension) is not adaptive. Simulation experiments and performance analysis show that the proposed algorithm has good interference suppression and shape preserving effect and high direction finding accuracy.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN972
本文編號：2298255
[Abstract]:Interference suppression is one of the most important problems in source location and tracking. For sidelobe interference, adaptive beamforming techniques are used to suppress the sidelobe interference. However, when the interference enters from the main beam, the common anti-sidelobe interference methods will form a deep zero point on the main beam interference position, which will make the main beam point offset, the main beam distortion, and the sidelobe level obviously elevated. Thus the direction finding accuracy and tracking accuracy of the target are affected. In view of the existence of main lobe interference, this paper takes planar phased array as the research platform, focuses on the suppression of interference and direction finding algorithm when the main lobe interference exists simultaneously. The main research contents are as follows: first of all, The main lobe interference suppression and pattern preserving algorithm for planar array are studied. In view of the fact that the general adaptive beamforming method can worsen the beam-forming performance, this paper introduces three main lobe interference suppression and pattern preserving methods, which include fusion data preprocessing, adaptive beamforming and pattern preserving. By preprocessing the adaptive beamforming method, the main lobe interference azimuth information is estimated first, and then the main lobe interference is preprocessed according to the estimated azimuth information. Then the pattern preserving strategy is added to the general adaptive beamforming method to ensure the interference zeroing effect and to maintain the shape of the winner beam after interference suppression. Finally, the performance of the algorithm is analyzed and explained by simulation experiment. Secondly, the fractal equivalent interference suppression and pattern preserving algorithm of planar array are studied. Combined with fractal dimension processing technique and principal lobe interference suppression technique, a fractal equivalent adaptive interference suppression and pattern preserving algorithm is proposed. After dividing the fractal dimensions of all the elements of the whole array, the adaptive method is equivalent to the uniform linear array with pitch and azimuth dimensions, so that the data processing of the plane array can be transformed into the data processing of two uniform linear arrays. Firstly, the main lobe interference blocking matrix is constructed for two uniform linear arrays, and then the conventional anti-sidelobe interference method is used to preserve the shape of the main beam by adding the pattern conserving strategy to the interference suppression at the same time. Thus, the performance of the main beam can be maintained on the premise of simultaneous suppression of the main lobe and the interference inside and outside the main lobe. The anti-jamming performance and shape-preserving effect of this method are analyzed by simulation experiments. Finally, four channel GSC interference suppression and direction finding algorithms are studied. On the basis of channel, pitch difference channel and azimuth difference channel, a double differential channel is added to form four channels, which combines the reduced dimension four channel monopulse system with the generalized sidelobe canceller. A dimensionally reduced four channel GSC interference suppression and direction finding algorithm is proposed. For large planar phased array, by subarray division, dimension reduction processing is realized. After dimensionality reduction processing, four channels and differential beamforming are carried out, respectively, the interference blocking matrix of four channels is constructed. Four channel GSC was used to suppress sidelobe interference. Then the fractal dimension deals with the interference of the main lobe, that is, the interference is suppressed by adaptive and differential beamforming for another orthogonal dimension under the condition that one dimension (pitch dimension or azimuth dimension) is not adaptive. Simulation experiments and performance analysis show that the proposed algorithm has good interference suppression and shape preserving effect and high direction finding accuracy.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN972
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