Modified rotational signal subspace algorithm

Zohreh Ebadi, Shahriar Shirvani Moghaddam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

By investigating general covariance matrices for wideband signals, it was observed that this matrix is similar to covariance matrix of coherent narrowband signals. Therefore, in this paper, a transformation matrix is used for constructing a new general covariance matrix. The proposed algorithm is based on a new general covariance matrix which is named as enhanced Rotational Signal Subspace algorithm. The effectiveness of the proposed algorithm is compared to conventional ones in terms of probability of resolution and root mean square error for different signal to noise ratios and the angular difference between two sources. Simulation results indicate that the proposed algorithm outperforms Rotational Signal Subspace algorithm. In addition, the proposed algorithm has less computational complexity compared to Focused Khatri Rao-Rotational Signal Subspace algorithm and their performance is almost the same.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2557-2560
Number of pages4
ISBN (Electronic)9781509044429
ISBN (Print)9781509044436
DOIs
Publication statusPublished - 22 Feb 2018
Event2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) -
Duration: 22 Mar 201724 Mar 2017

Publication series

NameProceedings of the International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET

Conference

Conference2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
Period22/03/201724/03/2017

Keywords

  • DOA
  • FKR-RSS
  • RMSE
  • RSS
  • SNR

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