NDLI: Sparse channel estimation of pulse-shaping multiple-input–multiple-output orthogonal frequency division multiplexing systems with an approximate gradient l 2 − Sl 0 reconstruction algorithm

Content Provider	IET Digital Library
Author	Ye, Xinrong Zhu, Wei Ping
Abstract	Most of the existing compressed channel-sensing methods for multiple-input–multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems did not take into account the pulse-shaping filter in the transmitter and matched filter in the receiver. However, these two filters are commonly used in digital communication systems. The compressed channel-sensing problem of pulse-shaping MIMO-OFDM systems is first formulated. A new signal-reconstruction algorithm in the compressed sensing framework is then proposed. The algorithm is based on minimising a smoothed l 0-norm regularised least-square (LS) (l 2 − Sl 0) objective function, and the unconstrained optimisation involved is performed by an approximate gradient method. Further, the proposed l 2 − Sl 0 algorithm is applied to reconstruct the channel impulse response. A number of computer simulation-based experiments are conducted, showing a better reconstruction accuracy of the l 2 − Sl 0 algorithm as compared with the smoothed l 0-norm (Sl 0) algorithm. The proposed channel estimation approach can save nearly 25% pilot signals to maintain the same mean square error and bit error rate performances as given by the conventional LS method.
Starting Page	1124
Ending Page	1131
Page Count	8
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 7, May (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0571
Journal	IET Communications
Publisher Date	2014-02-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximate Gradient L2-Sl0 Reconstruction Algorithm Bit Error Rate Channel Estimation Channel Impulse Response Reconstruction Communication Channel Equalisation And Identification Compressed Channel-sensing Method Compressed Sensing Computer Simulation-based Experiment Digital Communication System Error Statistics Filtering Method in Signal Processing Gradient Method Interpolation And Function Approximation Least Mean Squares Method Linear Algebra LS Method Matched Filter Mean Square Error Rate MIMO Communication Minimisation Modulation And Coding Method Multiple-input-multiple-output Orthogonal Frequency Division Multiplexing Numerical Analysis OFDM Modulation Optimisation Technique Pulse Shaping Pulse-shaping Filter Pulse-shaping MIMO-OFDM System Radio Link And Equipment Radio Receiver Radio Transmitters Receiver Signal Reconstruction Signal-reconstruction Algorithm Smoothed L0-norm Algorithm Smoothed L0-norm Regularised Least-square Minimisation Smoothing Method Sparse Channel Estimation Statistics Transmitter Unconstrained Optimisation Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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