Joint carrier and DOA estimation for multi-band sources based on sub-Nyquist sampling coprime array with large time lags

被引:13
作者
Huang, Xiangdong [1 ]
Zhao, Xuecheng [1 ]
Ma, Jinying [1 ]
机构
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
关键词
Joint carrier frequency and DOA estimation; Coprime delays; Coprime array; Sub-Nyquist sampling; Multi-band sources; FREQUENCY ESTIMATION; COGNITIVE RADIO; ESPRIT;
D O I
10.1016/j.sigpro.2022.108466
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Towards the tendency of the Massive MIMO exploitation in X-band, K-band or higher bands, it becomes increasingly urgent to develop a joint carrier frequency and Direction of Arrival (DOA) estimator under the spatial-temporal sub-sampling conditions. In this paper, we formulate a framework comprising sparse coprime arrays and low-rate ADCs equipped with flexible large coprime time delays, which not only alleviates the mutual coupling among antennas but also facilitates the system implementations. On basis of this framework, we propose a joint estimator characterized with a 3-stage source pairing procedure and a phase ambiguity removal approach, both of which are on basis of the joint singular value decomposition on the cross-correlations of the subsamples collected from two coprime sub-arrays. Numerical results show that, the proposed joint estimator exhibits superiorities over the existing joint estimators in both recovery accuracy and resolvability for densely-distributed sources, which presents vast potentials for further developments such as enlarging the user capacity in the future mobile communications.(c) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
相关论文
共 30 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]   State-of-the-art and recent advances Spectrum Sensing for Cognitive Radio State-of-the-art and recent advances [J].
Axell, Erik ;
Leus, Geert ;
Larsson, Erik G. ;
Poor, H. Vincent .
IEEE SIGNAL PROCESSING MAGAZINE, 2012, 29 (03) :101-116
[3]  
Bhattarai Sudeep, 2016, 2016 IEEE Conference on Computer Communications: Workshops (INFOCOM WKSHPS), P1021, DOI 10.1109/INFCOMW.2016.7562235
[4]   Carrier Frequency and DOA Estimation of Sub-Nyquist Sampling Multi-Band Sensor Signals [J].
Cui, Can ;
Wu, Wen ;
Wang, Wen-Qin .
IEEE SENSORS JOURNAL, 2017, 17 (22) :7470-7478
[5]   Cyclostationarity: Half a century of research [J].
Gardner, WA ;
Napolitano, A ;
Paura, L .
SIGNAL PROCESSING, 2006, 86 (04) :639-697
[6]   Joint SVD of two cross-correlation matrices to achieve automatic pairing in 2-D angle estimation problems [J].
Gu, Jian-Feng ;
Wei, Ping .
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2007, 6 :553-556
[7]   UNITARY ESPRIT - HOW TO OBTAIN INCREASED ESTIMATION ACCURACY WITH A REDUCED COMPUTATIONAL BURDEN [J].
HAARDT, M ;
NOSSEK, JA .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1995, 43 (05) :1232-1242
[8]   Transmit Energy Focusing for DOA Estimation in MIMO Radar With Colocated Antennas [J].
Hassanien, Aboulnasr ;
Vorobyov, Sergiy A. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (06) :2669-2682
[9]   Cognitive radio: Brain-empowered wireless communications [J].
Haykin, S .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (02) :201-220
[10]   Closed-Form DOA Estimation Using First-Order Differential Microphone Arrays via Joint Temporal-Spectral-Spatial Processing [J].
He, Saijuan ;
Chen, Huawei .
IEEE SENSORS JOURNAL, 2017, 17 (04) :1046-1060