NDLI: Joint DOA and frequency estimation with sub-Nyquist sampling for more sources than sensors

Content Provider	IET Digital Library
Author	Liu, Liang Wei, Ping
Abstract	Multiple antenna systems with sub-Nyquist sampling technique have been applied to jointly estimate frequency and direction-of-arrival of narrowband far-field signals. Unlike the current some techniques, where only one signal can be handled in some certain subband, the authors propose a novel technique to deal with the case of multiple signals. The authors first build a new time-space union model for this case and analyse the identification of the model, and then provide the maximum number of signals which can be classified. The authors also prove that the Cramér-Rao Bound (CRB) of the model is lower than the CRB based on Nyquist sampling. Simulation results verify the identification capacity and show that the proposed algorithm has a superior estimation performance close to CRB especially in the case of the minimum redundancy array case.
Starting Page	1798
Ending Page	1801
Page Count	4
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 12, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0086
Journal	IET Radar, Sonar & Navigation
Publisher Date	2017-10-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Array Cramer-Rao Bound Direction of Arrival Estimation DOA Estimation Frequency Estimation Identification Capacity Multiple Antenna System Narrowband Far-field Signal Redundancy Array Signal Processing And Detection Signal Processing Theory Statistics Sub-Nyquist Sampling Time-Space Union Model
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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