共查询到20条相似文献,搜索用时 22 毫秒
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阵列幅相误差的存在将大大影响波达方向的估计精度,反之在波达方向未知的情况下,幅相误差同样无法精确估计,两者相互耦合。在详细分析两者耦合情况的基础上,从工程应用角度出发,给出了一种改进的幅相误差校正方法。该方法能够在波达方向未知的条件下,精确估计阵列幅相误差,同时给出波达方向。由于仅需一次迭代,该方法的计算量较少,更易实现。仿真数据的处理结果证明了该方法的可行性。 相似文献
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提出基于G-S(Gram-Schmidt)正交算法的信号子空间宽带聚焦DOA估计算法。该算法基于G-S正交方法,求得矩阵的信号子空间,并利用局域子空间投影算法(LSP),构造宽带信号子空间最佳聚焦矩阵。分析表明,该算法不需矩阵特征分解,运算量小于双边变换(TCT)方法,性能优于TCT方法。仿真结果证明了算法的有效性。 相似文献
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ABSTRACT In this paper, direction of arrival (DOA) estimation of multiple signals with coprime array is investigated and signal subspace fitting (SSF) method is linked to the coprime array, which achieves a better DOA estimation performance than the traditional uniform array. While the SSF method requires expensive computational cost in the case of multiple signals due to the multidimensional global angular searching, we propose a successive SSF (S-SSF) algorithm from a computationally efficient perspective. In the proposed algorithm, we employ rotational invariance and coprime property to obtain the initial estimates. Then, via a successive scheme, we transform the traditional multidimensional global angular searching problem into one-dimensional partial angular searching one. Consequently, the computational complexity has been significantly reduced. Specifically, the proposed S-SSF algorithm can obtain almost the same DOA estimation performance as SSF but with remarkably lower complexity. Finally, Cramer-Rao Bound (CRB) is provided and numerical simulations demonstrate the effectiveness of the proposed algorithm. 相似文献
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多重信号分类(multiple signal classification: MUSIC)方法通过计算搜索导向矢量与噪声或信号子空间的距离来估计波达方向,对采样协方差矩阵的依赖性较大。在小快拍或存在强弱临近信号条件下,采样协方差矩阵的估计值与真实值通常存在较大差异,导致估计的噪声或信号子空间发生畸变,严重恶化了MUSIC方法的波达角估计性能。针对该问题,本文提出采用加权伪噪声子空间投影的改进方法(称为wpnMUSIC)。该方法在修正数据相关矩阵的基础上估计与搜索导向矢量对应的伪噪声子空间并利用其在伪噪声子空间的投影值对MUSIC空间谱进行加权处理,在保持子空间处理方法高分辨能力的同时改善了对小快拍和强弱信号的稳健性。理论分析和仿真实验表明本文方法对强弱临近目标的分辨能力优于MUSIC方法。 相似文献
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提出了一种相干宽带线性调频(LFM)信号的波达方向(DOA)估计新方法。该方法利用LFM信号在分数阶Fourier域上的解线调特性,构造出新的解线调域阵列数据模型,然后结合传统的矩阵重构解相干以及MUSIC算法实现相干LFM信号的DOA估计。若同时存在多组相干LFM信号入射,则首先在不同的能量聚集域上将各信号组分离,然后逐一进行各组内相干信号的DOA估计。该方法充分地挖掘了观测信号所包含的时频信息,增加了可检测的DOA数目,提高了分辨性能和抗噪声性能。此外,该方法无冗余阵元与孔径损失,且适用于任意流型阵列。仿真结果显示,在DOA估计的均方根误差(RMSE)相同时,与传统方法相比,本方法可获得8dB左右的信噪比增益。 相似文献
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根据联合阶数估计最小二乘平滑算法(J-LSS)中投影误差矩阵的特点,利用其零空间向量形成的特殊矩阵的秩与信道阶数的关系,分别构造2个阶数估计代价函数。将2个代价函数归一化后联合构建成新的代价函数,新的代价函数较使用单一代价函数提升了在低信噪比下的辨识率。仿真结果表明,与传统算法相比,该算法在较低的信噪比和小样本观测数据条件下,有很好的估计性能。 相似文献
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A new algorithm for 2-D DOA estimation 总被引:1,自引:0,他引:1
In this paper we present a new algorithm to estimate the 2-D direction of arrival (DOA) of narrowband sources lying in the far field of the array. The array consists of matched co-directional triplets, and can be considered as an extension of the 1-D ESPRIT scenario to 2-D. The proposed approach is simple and direct and does not require a search procedure or initialization. Existing algorithms require a search to match the correct elevation and azimuth angles and are computationally more expensive. This technique automatically pairs the azimuth and elevation angles by marking them. The computational complexity is twice that of 1-D ESPRIT. Simulation results and comparisons with other existing algorithms are presented to demonstrate the performance of the proposed technique. 相似文献
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根据GPS接收机接收信号、噪声和线性调频(LFM)干扰在时频平面上的不同分布特点,用STFT-Hough变换进行干扰的检测和参数估计;将子空间投影方法与空时信号处理相结合,构造出空时二维干扰子空间,利用子空间投影方法进行干扰抑制.文中给出干扰参数估计和空时子空间投影抗干扰的具体步骤,推导出系统输出信干噪比的解析表达式,分析了干扰参数估计误差的影响.同其它抗LFM干扰方法相比,本文方法对干扰参数估计更准确、计算量更小;空时子空间投影方法引入更多自由度,抗干扰性能进一步提高;结构简单,具有较高的可行性和实用性.仿真试验验证了该方法能有效抑制LFM干扰. 相似文献
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An efficient direction of arrival (DOA) estimation method is proposed with uniform linear array (ULA) in multipath environment. By applying a transformation, we can convert a constructed complex matrix to a real one, and then utilize the real matrix combined with our proposed criterion to estimate the DOAs of uncorrelated signals. Afterwards, the contributions of uncorrelated signals are eliminated, and then several new matrices without the information of uncorrelated signals are constructed to resolve the remaining coherent signals. The proposed estimation method overcomes the shortcomings of the existing methods and has satisfactory performance. Simulation results confirm the theoretical analysis and show the effectiveness of the proposed method. 相似文献
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多输入多输出(MIMO)雷达使用多个天线同时发射独立波形,在不同位置的目标回波彼此线性独立,以获得较好的空间分辨率。文章提出了基于收发不共位的线阵在水平面内构成十字阵的MIMO雷达信号模型;研究利用MUSIC算法来估计该模型下的MIMO雷达的二维波达角;分析了基于均匀十字阵的MIMO雷达的优越性,并探讨了十字阵MIMO雷达性能与阵元间距的关系,仿真表明,在满足远场条件下,均匀十字阵比均匀线阵可以估计更多的目标而且精度更高;通过非均匀布阵,可以进一步提高MIMO雷达的二维波达角的估计精度。 相似文献
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