DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing

Tsubasa TERADA; Toshihiko NISHIMURA; Yasutaka OGAWA; Takeo OHGANE; Hiroyoshi YAMADA

doi:10.1587/transcom.E97.B.2110

DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing

Tsubasa TERADA, Toshihiko NISHIMURA, Yasutaka OGAWA, Takeo OHGANE, Hiroyoshi YAMADA

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Much attention has recently been paid to direction of arrival (DOA) estimation using compressed sensing (CS) techniques, which are sparse signal reconstruction methods. In our previous study, we developed a method for estimating the DOAs of multi-band signals that uses CS processing and that is based on the assumption that incident signals have the same complex amplitudes in all the bands. That method has a higher probability of correct estimation than a single-band DOA estimation method using CS. In this paper, we propose novel DOA estimation methods for multi-band signals with frequency characteristics using the Khatri-Rao product. First, we formulate a method that can estimate DOAs of multi-band signals whose phases alone have frequency dependence. Second, we extend the scheme in such a way that we can estimate DOAs of multi-band signals whose amplitudes and phases both depend on frequency. Finally, we evaluate the performance of the proposed methods through computer simulations and reveal the improvement in estimation performance.

Publication: IEICE TRANSACTIONS on Communications Vol.E97-B No.10 pp.2110-2117

Publication Date: 2014/10/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E97.B.2110

Type of Manuscript: Special Section PAPER (Special Section on Recent Progress in Measurement and Design Techniques on Antennas, Propagation and Wireless Systems)

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Authors

Tsubasa TERADA
  Hokkaido University
Toshihiko NISHIMURA
  Hokkaido University
Yasutaka OGAWA
  Hokkaido University
Takeo OHGANE
  Hokkaido University
Hiroyoshi YAMADA
  Niigata University

Keyword

DOA estimation, multi-band signal, compressed sensing, Khatri-Rao product, sparse signal reconstruction

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Tsubasa TERADA, Toshihiko NISHIMURA, Yasutaka OGAWA, Takeo OHGANE, Hiroyoshi YAMADA, "DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing" in IEICE TRANSACTIONS on Communications, vol. E97-B, no. 10, pp. 2110-2117, October 2014, doi: 10.1587/transcom.E97.B.2110.
Abstract: Much attention has recently been paid to direction of arrival (DOA) estimation using compressed sensing (CS) techniques, which are sparse signal reconstruction methods. In our previous study, we developed a method for estimating the DOAs of multi-band signals that uses CS processing and that is based on the assumption that incident signals have the same complex amplitudes in all the bands. That method has a higher probability of correct estimation than a single-band DOA estimation method using CS. In this paper, we propose novel DOA estimation methods for multi-band signals with frequency characteristics using the Khatri-Rao product. First, we formulate a method that can estimate DOAs of multi-band signals whose phases alone have frequency dependence. Second, we extend the scheme in such a way that we can estimate DOAs of multi-band signals whose amplitudes and phases both depend on frequency. Finally, we evaluate the performance of the proposed methods through computer simulations and reveal the improvement in estimation performance.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.2110/_p

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@ARTICLE{e97-b_10_2110,
author={Tsubasa TERADA, Toshihiko NISHIMURA, Yasutaka OGAWA, Takeo OHGANE, Hiroyoshi YAMADA, },
journal={IEICE TRANSACTIONS on Communications},
title={DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing},
year={2014},
volume={E97-B},
number={10},
pages={2110-2117},
abstract={Much attention has recently been paid to direction of arrival (DOA) estimation using compressed sensing (CS) techniques, which are sparse signal reconstruction methods. In our previous study, we developed a method for estimating the DOAs of multi-band signals that uses CS processing and that is based on the assumption that incident signals have the same complex amplitudes in all the bands. That method has a higher probability of correct estimation than a single-band DOA estimation method using CS. In this paper, we propose novel DOA estimation methods for multi-band signals with frequency characteristics using the Khatri-Rao product. First, we formulate a method that can estimate DOAs of multi-band signals whose phases alone have frequency dependence. Second, we extend the scheme in such a way that we can estimate DOAs of multi-band signals whose amplitudes and phases both depend on frequency. Finally, we evaluate the performance of the proposed methods through computer simulations and reveal the improvement in estimation performance.},
keywords={},
doi={10.1587/transcom.E97.B.2110},
ISSN={1745-1345},
month={October},}

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TY - JOUR
TI - DOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing
T2 - IEICE TRANSACTIONS on Communications
SP - 2110
EP - 2117
AU - Tsubasa TERADA
AU - Toshihiko NISHIMURA
AU - Yasutaka OGAWA
AU - Takeo OHGANE
AU - Hiroyoshi YAMADA
PY - 2014
DO - 10.1587/transcom.E97.B.2110
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2014
AB - Much attention has recently been paid to direction of arrival (DOA) estimation using compressed sensing (CS) techniques, which are sparse signal reconstruction methods. In our previous study, we developed a method for estimating the DOAs of multi-band signals that uses CS processing and that is based on the assumption that incident signals have the same complex amplitudes in all the bands. That method has a higher probability of correct estimation than a single-band DOA estimation method using CS. In this paper, we propose novel DOA estimation methods for multi-band signals with frequency characteristics using the Khatri-Rao product. First, we formulate a method that can estimate DOAs of multi-band signals whose phases alone have frequency dependence. Second, we extend the scheme in such a way that we can estimate DOAs of multi-band signals whose amplitudes and phases both depend on frequency. Finally, we evaluate the performance of the proposed methods through computer simulations and reveal the improvement in estimation performance.
ER -