Next Article in Journal
Characterizing Esophageal Cancerous Cells at Different Stages Using the Dielectrophoretic Impedance Measurement Method in a Microchip
Next Article in Special Issue
Joint Optimization of Receiver Placement and Illuminator Selection for a Multiband Passive Radar Network
Previous Article in Journal
Full-Field Calibration of Color Camera Chromatic Aberration using Absolute Phase Maps
Previous Article in Special Issue
Design of a Single Channel Modulated Wideband Converter for Wideband Spectrum Sensing: Theory, Architecture and Hardware Implementation
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(5), 1052;

Spectrum Sensing Using Co-Prime Array Based Modulated Wideband Converter

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007,China
Author to whom correspondence should be addressed.
Academic Editors: Francisco Javier Falcone Lanas, Ana Alejos and Leyre Azpilicueta
Received: 6 March 2017 / Revised: 29 April 2017 / Accepted: 2 May 2017 / Published: 6 May 2017
(This article belongs to the Special Issue Cognitive Radio Sensing and Sensor Networks)
Full-Text   |   PDF [875 KB, uploaded 8 May 2017]   |  


As known to us all, it is challenging to monitor wideband signals in frequency domain due to the restriction of hardware. Several practical sampling schemes, such as multicoset sampling and the modulated wideband converter (MWC), have been proposed. In this work, a co-prime array (CA) based modulated wideband converter (MWC) spectrum sensing method is suggested. Our proposed method has the same sampling principle as the MWC but has some advantages compared to MWC. Firstly, CA-based MWC is an array-based MWC system. Each sensor is usually corrupted by independent noise for an array system which can be used for noise averaging, while all channels in conventional MWC have the same receiving noise. Secondly, by incorporating the co-prime array, we can estimate the power spectrum of signal directly employing its second-order statistical properties. Moreover, the system minimal sampling rate can be reduced further because of the reduction of sampling channels. Simulation results show that our method has better performance than traditional methods. View Full-Text
Keywords: co-prime array; modulated wideband converter; spectrum sensing; minimal sampling rate co-prime array; modulated wideband converter; spectrum sensing; minimal sampling rate

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lv, W.; Wang, H.; Mu, S. Spectrum Sensing Using Co-Prime Array Based Modulated Wideband Converter. Sensors 2017, 17, 1052.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top