A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise

Ruiyan CAI; Li YANG; Yang QIAN

doi:10.11999/JEIT200325

Volume 42 Issue 11

Nov. 2020

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(11): 2600-2606

Ruiyan CAI, Li YANG, Yang QIAN. A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2600-2606. doi: 10.11999/JEIT200325

Citation:

Ruiyan CAI, Li YANG, Yang QIAN. A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2600-2606. doi: 10.11999/JEIT200325

Citation:

PDF( 869 KB)

A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise

doi: 10.11999/JEIT200325

1.
College of Information Engineering, Dalian University, Dalian 116622, China
2.
Key Laboratory of Communication and Network, Dalian University, Dalian 116622, China

Funds: The National Natural Science Foundation of China (61671105, 61901080)

Received Date: 2020-04-28
Rev Recd Date: 2020-10-19

Available Online: 2020-10-26

Publish Date: 2020-11-16

Abstract

Abstract

To solve the problem of passive wireless monitoring and positioning in complex electromagnetic environments, a generalized auto-correntropy for suppressing the impulsive noise in the array output signals is proposed and its properties are derived. To obtain the estimates of both central Direction Of Arrival (DOA) and angular spread for coherently distributed sources in the impulsive noise, a novel DOA estimation method based on the generalized auto-correntropy is proposed, and its boundedness is proved. To improve the robustness of the proposed algorithm, a new adaptive kernel function, which only depends on the array output signals, is also derived. The simulation results show that the proposed algorithm can obtain the joint estimation for coherently distributed sources under impulsive noise environments, and has higher estimation accuracy and robustness than existing algorithms.
- distributed sources,
- correntropy,
- Alpha-stable distribution,
- Direction Of Arrival (DOA) estimation

FullText(HTML)

References(22)

References

SHEN Qing, LIU Wei, CUI Wei, et al. Underdetermined DOA estimation under the compressive sensing framework: A review[J]. IEEE Access, 2016, 4: 8865–8878. doi: 10.1109/ACCESS.2016.2628869

ZHAI Hui, ZHANG Xiaofei, ZHENG Wang, et al. DOA estimation of noncircular signals for unfolded coprime linear array: Identifiability, DOF and algorithm (May 2018)[J]. IEEE Access, 2018, 6: 29382–29390. doi: 10.1109/ACCESS.2018.2835563

LIN Jianfeng and ZHANG Xiaofei. Direction of arrival estimation of quasi-stationary signals using unfolded coprime array[J]. IEEE Access, 2017, 5: 6538–6545. doi: 10.1109/ACCESS.2017.2695581

SHU Feng, QIN Yaolu, LIU Tingting, et al. Low-complexity and high-resolution DOA estimation for hybrid analog and digital massive MIMO receive array[J]. IEEE Transactions on Communications, 2018, 66(6): 2487–2501. doi: 10.1109/TCOMM.2018.2805803

SCHMIDT R. Multiple emitter location and signal parameter estimation[J]. IEEE Transactions on Antennas and Propagation, 1986, 34(3): 276–280. doi: 10.1109/TAP.1986.1143830

TSAKALIDES P and NIKIAS C L. Robust space-time adaptive processing (STAP) in non-Gaussian clutter environments[J]. IEE Proceedings–Radar, Sonar and Navigation, 1999, 146(2): 84–93. doi: 10.1049/ip-rsn:19990233

NIKIAS C L and SHAO Min. Signal Processing with Alpha-stable Distributions and Applications[M]. New York, USA: John Wiley & Sons, Inc., 1995: 20–55.

马济通, 邱天爽, 李蓉, 等. 脉冲噪声下基于Renyi熵的分数低阶双模盲均衡算法[J]. 电子与信息学报, 2018, 40(2): 378–385. doi: 10.11999/JEIT170366

MA Jitong, QIU Tianshuang, LI Rong, et al. Dual-mode blind equalization algorithm based on Renyi entropy and fractional lower order statistics under impulsive noise[J]. Journal of Electronics &Information Technology, 2018, 40(2): 378–385. doi: 10.11999/JEIT170366

TSAKALIDES P and NIKIAS C L. High-resolution autofocus techniques for SAR imaging based on fractional lower-order statistics[J]. IEE Proceedings - Radar, Sonar and Navigation, 2001, 148(5): 267–276. doi: 10.1049/ip-rsn:20010457

LIU T H and MENDEL J M. A subspace-based direction finding algorithm using fractional lower order statistics[J]. IEEE Transactions on Signal Processing, 2001, 49(8): 1605–1613. doi: 10.1109/78.934131

BELKACEMI H and MARCOS S. Robust subspace-based algorithms for joint angle/Doppler estimation in non-Gaussian clutter[J]. Signal Processing, 2007, 87(7): 1547–1558. doi: 10.1016/j.sigpro.2006.12.015

LIU Weifeng, POKHAREL P P, and PRINCIPE J C. Correntropy: Properties and applications in non-Gaussian signal processing[J]. IEEE Transactions on Signal Processing, 2007, 55(11): 5286–5298. doi: 10.1109/TSP.2007.896065

ZHANG Jinfeng, QIU Tianshuang, SONG Aimin, et al. A novel correntropy based DOA estimation algorithm in impulsive noise environments[J]. Signal Processing, 2014, 104: 346–357. doi: 10.1016/j.sigpro.2014.04.033

VALAEE S, CHAMPAGNE B, and KABAL P. Parametric localization of distributed sources[J]. IEEE Transactions on Signal Processing, 1995, 43(9): 2144–2153. doi: 10.1109/78.414777

MENG Y, STOICA P, and WONG K M. Estimation of the directions of arrival of spatially dispersed signals in array processing[J]. IEE Proceedings–Radar, Sonar and Navigation, 1996, 143(1): 1–9. doi: 10.1049/ip-rsn:19960170

邱天爽. 相关熵与循环相关熵信号处理研究进展[J]. 电子与信息学报, 2020, 42(1): 105–118. doi: 10.11999/JEIT190646

QIU Tianshuang. Development in signal processing based on correntropy and cyclic correntropy[J]. Journal of Electronics &Information Technology, 2020, 42(1): 105–118. doi: 10.11999/JEIT190646

GREENE W H. Econometric Analysis[M]. Englewood Cliffs, NJ, US: Prentice Hall Inc., 2011: 80–120.

CHIANI M, DARDARI D, and SIMON M K. New exponential bounds and approximations for the computation of error probability in fading channels[J]. IEEE Transactions on Wireless Communications, 2003, 2(4): 840–845. doi: 10.1109/TWC.2003.814350

CHANG S H, COSMAN P C, and MILSTEIN L B. Chernoff-type bounds for the Gaussian error function[J]. IEEE Transactions on Communications, 2011, 59(11): 2939–2944. doi: 10.1109/TCOMM.2011.072011.100049

TSAKALIDES P and NIKIAS C L. Maximum likelihood localization of sources in noise modeled as a stable process[J]. IEEE Transactions on Signal Processing, 1995, 43(11): 2700–2713. doi: 10.1109/78.482119

ZHANG Q T. Probability of resolution of the MUSIC algorithm[J]. IEEE Transactions on Signal Processing, 1995, 43(4): 978–987. doi: 10.1109/78.376849

TIAN Quan, QIU Tianshuang, LI Jingchun, et al. Robust adaptive DOA estimation method in an impulsive noise environment considering coherently distributed sources[J]. Signal Processing, 2019, 165: 343–356. doi: 10.1016/j.sigpro.2019.07.014

Relative Articles

Supplements(0)

Cited By

Proportional views