主瓣内外干扰同时抑制的分维测向算法
发布时间：2018-10-29 16:44
【摘要】：干扰抑制是信源定位和跟踪首要解决的难题,针对旁瓣干扰,使用自适应波束形成技术的各种准则和方法对其具有良好的抑制效果。然而,当干扰从主波束进入,常见的各种抗旁瓣干扰方法均会在主波束干扰位置上形成深零点,使主波束指向偏移,主波束畸变,旁瓣电平明显抬高,从而影响目标的测向精度和跟踪精度。针对存在主瓣干扰的情况,本文以平面相控阵为研究平台,重点研究了主瓣内外干扰同时存在时干扰的抑制及测向算法,主要的研究内容为:首先,研究了平面阵下主瓣干扰抑制及方向图保形算法。针对一般的自适应波束形成方法会恶化波束的性能这种状况,介绍了融合数据预处理、自适应波束形成和方向图保形三种技术于一体的三种主瓣干扰抑制及方向图保形方法。通过在自适应波束形成方法前进行预处理,即先估计出主瓣干扰方位信息,接着根据估计出的方位信息对主瓣干扰进行预处理,然后将方向图保形策略加入一般自适应波束形成方法,确保干扰调零效果的同时使得主波束形状在干扰抑制后仍能保持,最后利用仿真实验对上述介绍的算法进行性能分析和说明。其次,研究了平面阵分维等效干扰抑制和方向图保形算法。结合分维处理技术和主瓣干扰抑制技术,提出一种分维等效自适应干扰抑制及方向图保形算法。将全阵所有阵元分维划分后自适应等效为俯仰维和方位维的均匀线阵,从而将平面阵数据处理转化为两个均匀线阵的数据处理。先对两个均匀线阵分别构造主瓣干扰阻塞矩阵后运用常规的抗旁瓣干扰方法,在干扰抑制的同时加入方向图保形策略,对主波束进行保形,从而保证在主瓣内外干扰同时抑制的前提下保持主波束的性能。该方法的抗干扰性能和方向图保形效果用仿真实验进行了深入分析。最后,研究了降维四通道GSC干扰抑制及干扰测向算法。在和通道、俯仰差通道、方位差通道的基础上增加一个双差通道构成四通道,将降维四通道单脉冲系统和广义旁瓣相消器相结合,提出了一种降维四通道GSC干扰抑制及测向算法。针对大型平面相控阵,通过对阵列进行子阵划分,实现降维处理,降维处理后进行四通道和差波束形成,分别构造四个通道的干扰阻塞矩阵,对四个通道进行四通道GSC处理抑制旁瓣干扰;接着分维处理主瓣干扰,即在保证某一维(俯仰维或方位维)非自适应的情况下,对另一正交维进行自适应和差波束形成抑制干扰。仿真实验和性能分析结果表明,这种算法具有良好的干扰抑制效果和保形效果,且测向精度高。
[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.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN972
本文编号：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.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN972
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