Error Self-calibration Method in Spatial Spectrum Estimation
An important bottleneck in spatial spectrum estimation theory is array errors. A new error self-calibration method is presented on the basis of active error calibration and online self-calibration theories.
Huang Chuan-lu, Chao Kun, Mao Yun-zhi
doaj +2 more sources
Spatial Spectrum Estimation of Co-Channel Direct Signal in Passive Radar Based on Coprime Array
The received signal of passive radar based on mobile communication signals contains direct and multipath interference (DMI) signals from multiple co-channel base stations (CCBS). The direct signal spatial spectrum of each CCBS should be obtained first to
Haodong Xu +4 more
doaj +3 more sources
Spatial Spectrum-Based Channel Estimation for Wideband mmWave System With Beam Squint
Channel estimation for millimeter wave (mmWave) systems is challenging due to their large antenna arrays. Owing to the sparse scattering nature of the mmWave channel, channel estimation can be performed by estimating the directions and the gains of paths.
Hongkang Yu +3 more
doaj +3 more sources
Radio direction finding system based on spatial spectrum estimation
The direction finding technology based on spatial spectrum estimation is widely used due to itsβ ultra-high resolution,high sensitivity,high accuracy and plays a leading role in radio management.Based on the theoretical study of spatial spectrum ...
Xubin CHEN, Peiming REN, Huiling DAI
doaj +3 more sources
A Fast Estimation Algorithm for the Direction-of-Arrival of Double Polarized Surface Arrays [PDF]
In order to solve the problem of large computation and high operation complexity in spatial spectrum estimation combined with polarization domain spectrum estimation of polarization sensitive surface array, a dimension reduction root MUSIC (Multiple ...
Han Letian, Si Weijian, Qu Mingchao
doaj +1 more source
Signal estimation in cognitive satellite networks for satellite-based industrial internet of things [PDF]
Satellite industrial Internet of Things (IIoT) plays an important role in industrial manufactures without requiring the support of terrestrial infrastructures.
Chen, Yunfei +5 more
core +1 more source
Deep Networks for Direction of Arrival Estimation With Sparse Prior in Low SNR
This work introduces direction of arrival (DOA) estimation considering the sparsity prior in the low signal to noise ratio (SNR) using deep learning (DL).
Yanhua Qin
doaj +1 more source
The two-dimensional optimization capability of the space-time minimum variance distortionless response (STMVDR) can improve the spatial spectrum estimation performance of the broadband beamformer with limited samples, but its high sensitivity to ...
Yang Wang +3 more
doaj +1 more source
A Separation Method for Electromagnetic Radiation Sources of the Same Frequency [PDF]
To separate electromagnetic interference sources with an unknown source number, a new separation method is proposed, which includes five key steps: spatial spectrum estimation, source number and direction-of-arrival estimation, mixed matrix estimation ...
Yingchun Xiao, Yang Yang, Feng Zhu
doaj +1 more source
DOA Estimation of Wideband Signal Based on Improved MUSIC Algorithm [PDF]
The existing Direction of Arrival (DOA) estimation algorithms estimate the wideband signal azimuth in the passive detection system, there are some problems such as large deviation of DOA estimation results and high computational complexity, which are ...
LI Xinting, ZHONG Shuncong, ZHONG Jianfeng
doaj +1 more source

