Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107583
Title: Spectrum blind reconstruction and direction of arrival estimation of multi-band signals at sub-Nyquist sampling rates
Authors: Kumar, A. Anil
Razul, Sirajudeen Gulam
See, Samson Chong-Meng
Keywords: Direction-of-Arrival
Spectrum Blind Reconstruction
Engineering::Electrical and electronic engineering
Issue Date: 2016
Source: Kumar, A. A., Razul, S. G., & See, S. C.-M. (2018). Spectrum blind reconstruction and direction of arrival estimation of multi-band signals at sub-Nyquist sampling rates. Multidimensional Systems and Signal Processing, 29(2), 643-669. doi:10.1007/s11045-016-0455-7
Series/Report no.: Multidimensional Systems and Signal Processing
Abstract: In this paper we consider the problem of spectrum blind reconstruction (SBR) and direction of arrival (DOA) estimation of constituent sources of a disjoint multi-band signal (MBS) at sub-Nyquist sampling rates. Transformation of the problem into frequency domain indicates that the steering vector is a function of both the carrier frequency and its corresponding DOA. Employing the existing two dimensional frequency-DOA search algorithms suffers from the drawbacks of increased computational complexity and ambiguity issues. To overcome these drawbacks, in this paper we propose a simple modification to the receiver architecture by introducing an additional delay channel at every sensor. Estimation algorithms based on ESPRIT is then employed to estimate the carrier frequencies, while MUSIC algorithm is employed to estimate their corresponding DOAs. Using the knowledge of both these parameters, the MBS spectrum is then reconstructed. A two-dimensional iterative grid refinement algorithm is also described to further improve the estimation accuracy in the presence of noise. Identifiability issues are addressed and the conditions for unique identifiability are discussed. Furthermore, by assuming a two dimensional uniform array the advantages of the proposed approach in terms of identifiability is also provided. We further show that an M ≥ N + 1 sensors and an overall sampling rate of at least 2(N + 1)B would be sufficient to achieve SBR and DOA estimation of an MBS comprising of N disjoint bands each of maximal bandwidth B. Numerical simulations are finally presented which verifies the validity of the proposed approach and compares the performance against appropriate bounds.
URI: https://hdl.handle.net/10356/107583
http://hdl.handle.net/10220/50363
ISSN: 0923-6082
DOI: http://dx.doi.org/10.1007/s11045-016-0455-7
Rights: This is a post-peer-review, pre-copyedit version of an article published in Multidimensional systems and signal processing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11045-016-0455-7.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:TL Journal Articles

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.