Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array

Wanghan LV; Lihong HU; Weijun ZENG; Huali WANG; Zhangkai LUO

doi:10.1587/transfun.2021EAP1127

IEICE TRANSACTIONS on Fundamentals

Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array

Wanghan LV, Lihong HU, Weijun ZENG, Huali WANG, Zhangkai LUO

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As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.7 pp.1028-1037

Publication Date: 2022/07/01

Publicized: 2022/01/21

Online ISSN: 1745-1337

DOI: 10.1587/transfun.2021EAP1127

Type of Manuscript: PAPER

Category: Analog Signal Processing

Authors

Wanghan LV
  Nanjing Tech University
Lihong HU
  Glarun Technology Co., Ltd.
Weijun ZENG
  PLA Army Engineering University
Huali WANG
  PLA Army Engineering University
Zhangkai LUO
  Space Engineering University

Keyword

L-shaped co-prime array, direction-of-arrival estimation, spectrum sensing, modulated wideband converter

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Wanghan LV, Lihong HU, Weijun ZENG, Huali WANG, Zhangkai LUO, "Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array" in IEICE TRANSACTIONS on Fundamentals, vol. E105-A, no. 7, pp. 1028-1037, July 2022, doi: 10.1587/transfun.2021EAP1127.
Abstract: As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1127/_p

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@ARTICLE{e105-a_7_1028,
author={Wanghan LV, Lihong HU, Weijun ZENG, Huali WANG, Zhangkai LUO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array},
year={2022},
volume={E105-A},
number={7},
pages={1028-1037},
abstract={As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.},
keywords={},
doi={10.1587/transfun.2021EAP1127},
ISSN={1745-1337},
month={July},}

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TY - JOUR
TI - Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1028
EP - 1037
AU - Wanghan LV
AU - Lihong HU
AU - Weijun ZENG
AU - Huali WANG
AU - Zhangkai LUO
PY - 2022
DO - 10.1587/transfun.2021EAP1127
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2022
AB - As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.
ER -

IEICE TRANSACTIONS on Fundamentals