摘要
基于信号子空间与噪声子空间的正交性,提出了一种适用于多频近场信源方位角和距离联合估计新方法。该方法通过对传感器接收数据进行正交变换获得复数观测矩阵,应用特征值分解的相似变换方法求解复数协方差矩阵的特征值和特征向量,构造噪声子空间,考虑到信源信号频谱的特点,建立了适用于多频信号的谱函数,由谱峰搜索获得信源定位结果。本文方法提高了定位系统对多频信号的适用性,实际定位系统的仿真结果验证了该方法的有效性。
Based on the orthogonality between signal subspace and noise subspace, a new estimation algorithm of Direction-of-arrival （DOA） and range suitable for multi-frequency near-field source localization is proposed. By applying orthogonal transformation to the received data of transducers, a complex observation matrix is required. The eigenvalues and eigenvectors of the complex covariance matrix are computed using similarity transformation method of eigenvalue decomposition, and then the noise subspace is established. Considering the frequency spectrum of source signals, a suitable spectral function is constructed for multi-frequency signals to search for the locations of sources. The proposed method increases the applicability of localization system to multi-frequency sources. The actual localization system simulation results show the efficacy of the proposed method.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2016年第6期2080-2086,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61171137)
装备预研项目(625010217)
"863"国家高技术研究发展计划项目(2013AA013704)
关键词
通信技术
阵列信号处理
近场源定位
多频信源
系统实现
communication
array signal processing
near-field source localization
multi-frequency signal
system realization
