Dr. Zhang serves as a guest editor for a Digital Signal Processing special issue on “Co-prime Sampling and Arrays”. The special issue is currently accepting paper submissions until January 15, 2016. The co-guest editors are Dr. Moeness G. Amin from the Center for Advanced Communications, Villanova University, Dr. P.P. Vaidyanathan from Department of Electrical Engineering, California Institute of Technology, and Dr. Piya Pal from Department of Electrical and Computer Engineering, University of Maryland.
Co-prime sampling and co-prime arrays have recently been shown to improve active and passive sensing in radar and underwater acoustics using both narrowband and wideband signal platforms. Co-prime processing provides a systematical framework for sparse sampling and array configuration with increased aperture and improved spatial resolution. Co-prime based approaches to sampling and arrays can combat ambiguity and provide unique answers to target coordinates under forced coarse sampling in time, frequency, and space. Temporal and spatial co-prime samplings make advances in direction-of-arrival (DOA) estimation, spectrum sensing, and sparse covariance sketching. They find broad applications in synthetic aperture radar (SAR), radio frequency (RF) surveillance, target localization, wideband urban radar processing, space–time adaptive processing, and nonstationary array processing utilizing Doppler signatures and instantaneous frequency source characteristics.
The goal of the Special Issue is to publish the most recent results in signal processing using co-prime sampling and arrays. Review papers on this topic are also welcome. Topics to be covered in this Special Issue include but are not limited to:
• Co-prime beamforming for passive and active sensing
• High-resolution DOA estimation using co-prime arrays and coprime MIMO radar
• Sparse reconstruction based on co-prime sampling and coprime array configurations
• SAR imaging using co-prime arrays
• Two-dimensional co-prime array design
• Co-prime array calibration and mutual coupling effects
• Generalizations of co-prime and nested arrays
• Performance Analysis of co-prime and nested samplers
• Applications to sonar, radar, MRI, geolocation, and other areas
• Broader implications of co-prime sampling and arrays.
Manuscripts (please follow Digital Signal Processing publishing format, details can be found at http://www.elsevier.com/journals/digital-signal-processing/1051-2004/guide-for-authors) should be submitted via the Elsevier Electronic Editorial System http://ees.elsevier.com/dsp/ and select “SI: CSA” when you reach the “Article Type” step in the submission process.
Manuscript due January 15, 2016
Notification of first round review April 1, 2016
Revised manuscript due May 15, 2016
Final acceptance June 15, 2016
Publication date August 1, 2016
Download the Call for Paper in pdf format