The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Seperti yang diketahui oleh kita semua, tatasusunan co-prima (LCA) berbentuk L ialah struktur tatasusunan jarang dua dimensi (2-D) yang diperkenalkan baru-baru ini, yang dilanjutkan daripada tatasusunan co-prima linear (CA). Geometri tatasusunan jarang sedemikian boleh digunakan untuk anggaran parameter 2-D dengan darjah-kebebasan (DOF) yang lebih tinggi. Walau bagaimanapun, dalam senario di mana beberapa penghantaran jalur sempit tersebar dalam spektrum yang luas, teknik sedia ada berdasarkan LCA dengan persampelan Nyquist mungkin menghadapi kesesakan untuk pemprosesan analog dan digital. Untuk meringankan beban persampelan Nyquist kadar tinggi, kaedah spektrum jalur lebar bersama dan anggaran arah kedatangan (DOA) dengan pensampelan termampat berdasarkan LCA, yang diiktiraf sebagai penukar jalur lebar termodulat berasaskan LCA (MWC), dibentangkan. dalam kerja ini. Pertama, isyarat yang diterima di sepanjang setiap antena dicampurkan ke jalur asas, ditapis laluan rendah dan sampel ke bawah untuk mendapatkan data pensampelan termampat. Kemudian dengan membina data maya yang diterima bagi perbezaan 2-D coarray, kami menganggarkan spektrum jalur lebar dan DOA secara bersama menggunakan dua kaedah pemulihan di mana yang pertama ialah kaedah ESPRIT bersama dan satu lagi ialah kaedah CS bersama. Simulasi berangka menggambarkan kesahihan sistem MWC berasaskan LCA yang dicadangkan dan menunjukkan keunggulannya.
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
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Salinan
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
Salinan
@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},}
Salinan
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 -