Compressive sensing based channel estimation for MIMO-OFDM systems
- Resource Type
- Conference
- Authors
- Kong, Weisi; Li, Hui; Song, Shuangshuang; Fan, Yujie; Zhang, Wenjie
- Source
- 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA) Industrial Electronics and Applications (ICIEA), 2018 13th IEEE Conference on. :2164-2169 May, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
OFDM
Channel estimation
Matching pursuit algorithms
MIMO communication
Estimation
Interference
Time-domain analysis
MIMO
TDS-OFDM
channel estimation
gOMP algorithm
structured compressed sensing
- Language
- ISSN
- 2158-2297
In this paper, an adaptive structured-generalized orthogonal matching pursuit (AS-gOMP) algorithm is proposed for time domain channel estimation by utilizing the characteristics of multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system. This algorithm uses the properties of the PN sequence to obtain partial channel prior information firstly, then the remaining support sets are obtained by the improved generalized orthogonal matching pursuit (gOMP) algorithm in MIMO system. A good channel estimation result is achieved by exploiting the characteristics of PN sequence and the common sparsity in spatial and time domain. The simulation results show that the proposed method can reduce the bit error rate (BER) of channel estimation and improve the performance of the MIMO-OFDM system.