摘要
利用采样频率和频域数据的关系,对空时离散傅里叶变换(DFT)投影方法进行改进,并且讨论分析了采样频率对其解相干性能的影响,然后将窄带旋转不变技术估计信号参数(ESPRIT)类算法应用到宽带相干源方位估计中,提出一种基于空时DFT投影的宽带ESPRIT算法。仿真结果表明,适当地增加采样频率可以改善空时DFT投影方法的方位估计性能,并且比起快速傅里叶变换(FFT)插值法,空时DFT投影方法具有更加优越的方位估计性能。
The spatial-temporal Discrete Fourier Transformation (DFT) projection method was modified by using the relation between the sampling frequency and frequency domain data, and the impact of the sampling frequency on the performance of solving coherent sources was analyzed. A narrowband ESPRIT( Estimating Signal Parameters via Rotational Invariance Techniques) -like algorithm was applied to estimate Direction of Arrival (DOA) of wideband coherent signals, and a wideband ESPRIT algorithm based on spatial-temporal DFT projection was proposed~ The simulation results indicate that increasing the sampling frequency appropriately can improve the performance of DOA estimation, and spatial-temporal DFT projection method has better DOA estimation performance than Fast Fourier Transformation (FFT) interpolation method.
出处
《计算机应用》
CSCD
北大核心
2013年第11期3032-3034,3038,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(51179038)
声纳技术国家级重点实验室开放基金资助项目(KF201105)
中央高校基本科研业务费专项(HEUCF130508)
关键词
方位估计
宽带相干源
空时离散傅里叶变换投影
采样频率
旋转不变技术估计信号参数算法
Direction of Arrival (DOA) estimation
wideband coherent signal
spatial-temporal Discrete FourierTransformation (DFT) projection
sampling frequency
Estimating Signal Parameters via Rotational Invariance Technique(ESPRIT) algorithm