摘要
空间重采样方法是一种不需要角度预估计的宽带DOA估计方法,它利用相位聚焦的方法实现宽带信号中不同信号子带的信号子空间的一致.而基于FFT变换的空间重采样算法利用傅里叶变换特性实现空间采样频率的变换,但此方法对阵元的选择以及参考频率的选择等都有一定的要求,本文从阵元个数、参考频率、子带划分、信号入射角度以及信号带宽等多个方面对基于FFT空间重采样算法进行了全面细致的性能仿真分析,为该方法的应用推广、工程实现提供了较为有意义的参考.
Spatial resampling is a wideband direction of arrival （DOA） estimation method with no need to pre-estimate the angle of incidence. It uses phase focusing to uniformize the subspaces of wideband sig- nal＇s sub-bands. The spatial resampling method based on FFT uses the Fourier transform to adjust the spatial resampling rate. Yet, the performance of the spatial resampling method based on FFT largely de- pends on such factors as the amount of array elements, choice of the reference frequency, etc. A detailed performance analysis of the spatial resampling method based on FFT is given. This analysis is given from multiple aspect, e.g. number of array elements, reference frequency, sub-band division, angles of incidence, signal bandwidth, etc, which makes it a valuable reference for follow-up study and engineer- ing implementation.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第4期781-786,共6页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(61071159)
关键词
宽带DOA
傅里叶变换
空间重采样
性能分析
wide-band DOA
fourier transform
spatial resampling
performance analysis
