2D-angle of arrival estimation using signal spatial sparsity and Dantzig selector – Compressive Sensing (CS) based ultra-low power radar emitter signal measurement for electronic warfare application

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Authors
  1. Wu, C.
  2. Elangage, J.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
Based on two-dimensional (2D) signal spatial sparsity, this report first introduces a 2D radar signal Angle of Arrival (AoA) estimation method using Dantzig selector, which is a solution for the 𝑙𝑙1-regularization problem with consideration of measurement noise and/or error in Compressing Sensing (CS) framework. Then, the method is applied to different sizes of Nonuniformly Spaced Arrays (NSA) for 2D AoA (i.e., azimuth and elevation angles) estimation in 2-18 GHz frequency band. The simulation results show that using the CS-based AoA estimation method, a 6-element NSA can have more than 80% probability to find signal AoA, if Signal-to-Noise-Ratio (SNR) is between -10 to 50 dB, and more than 36% probability to estimate signal AoA, if SNR is between -30 to -10 dB, when the AoA estimation error is ¡Ü2∘; and the above AoA estimation probability can be increased to more than 95% and 50%, respectively, when the measurement error is ¡Ü8∘.

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Keywords
angle of arrival measurement;nonuniformly spaced array;Compressive Sensing
Report Number
DRDC-RDDC-2019-R079 — Scientific Report
Date of publication
01 Aug 2019
Number of Pages
49
DSTKIM No
CA049880
CANDIS No
810723
Format(s):
Electronic Document(PDF)

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