NDLI: Relevant support recovery algorithm in modulated wideband converter

Content Provider	IET Digital Library
Author	Zhu, Jiawei Li, Jie Li, Jian Li, Zhi
Abstract	Modulated wideband converter (MWC) is a compressed spectrum sensing system that randomly moves the sparse wideband signal spectrum to the baseband to realise low-speed sampling. Then, obtaining the effective support which is based on compressed sensing is the most important part for the signal recovery from samples. Aimed at the poor anti-noise performance of the support recovery, a relevant support recovery algorithm (RSRA) is proposed in modulated wideband converter for spectrum sensing. Specifically, the optimal initial support index is obtained by least squares. Then, the correlation between the measurement matrix column vector corresponding to the adjacent index and the sampling matrix is calculated, and the adjacent index with larger correlation is added to the support. The whole support is acquired by iterative updating under the thought of matching pursuit. Being different from other algorithms, RSRA takes the correlation about adjacent indexes into account, which can weaken the noise interference. Theoretical analysis and numerical simulations show that the proposed scheme can improve the recovery rate of effective support in lower SNR. While improving the anti-noise capability, other aspects of performance such as channels number and sparsity will not be sacrificed.
Starting Page	2883
Ending Page	2888
Page Count	6
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 18, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5474
Journal	IET Communications
Publisher Date	2019-07-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adjacent Index Algebra Compressed Sensing Compressed Spectrum Sensing System Effective Support Interpolation And Function Approximation Iterative Method Low-speed Sampling Matrix Algebra Modulated Wideband Converter Numerical Analysis Optimal Initial Support Index Poor Anti-noise Performance Radio Link And Equipment Recovery Rate Relevant Support Recovery Algorithm Sampling Matrix Signal Detection Signal Processing And Detection Signal Reconstruction Signal Recovery Signal Sampling Sparse Wideband Signal Spectrum Statistics Vector
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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