Defensive Compressive Time Delay Estimation Using Information Bottleneck

IEEE Signal Processing Letters, vol. 28, pp. 1968–1972

Abstract

Time delay estimation (TDE) is of great importance in reconnaissance and passive localization. Though TDE could leverage compressive sensing (CS) kernel to enjoy the advantage of sub-Nyquist samples, the estimation accuracy and robustness are inclined to be reduced by jamming or noise. To address the issue, this letter proposes a scheme of defensive compressive time delay estimation (DCTDE) with a novel sensing kernel optimization method and a defense augmentation strategy for the kernel. Inspired by the information bottleneck (IB) theory, we deduce a new analytic principle to enhance the estimation capability of the kernel, which focuses on the fidelity to the non-compressive scheme and the relevant information provided for TDE task.The strategy adopts an adversarial idea for the anti-spoofing design of kernel. Via simulations, the proposed scheme shows promising estimation accuracy, robustness, and high adaptability in both Gaussian noise and jamming environments, and more competitiveness than the Nyquist scheme.

Authors 5

1. Yiming Li

   National University of Defense Technology

   Affiliation as printed

   Hefei, China, 230037 (e-mail: yimingli_jamin@qq.com)

   [College of Electronic Engineering National University of Defense Technology, Hefei, China]

2. Rundong Wang

   Nanyang Technological University

   Affiliation as printed

   School of Computer Science and Engineering, Nanyang Technological University, 54761 Singapore, Singapore, Singapore, (e-mail: rundong001@e.ntu.edu.sg)

   School of Computer Science and Engineering, Nanyang Technological University,Singapore,Singapore

3. Yulin Hu Aachen Institute for Theoretical Information Technology

   Wuhan University · RWTH Aachen University

   Affiliation as printed

   Institute for Theoretical Information Technology, Rheinisch Westfalische Technische Hochschule Aachen, 9165 Aachen, Germany, 52056 (e-mail: hu@umic.rwth-aachen.de)

   School of Electronic Information, Wuhan University, Wuhan , China

4. Junan Yang

   National University of Defense Technology

   Affiliation as printed

   College of Electronic Engineering, National University of Defense Technology, 58294 Hefei, Anhui, China, (e-mail: yangjunan@ustc.edu.cn)

   [College of Electronic Engineering National University of Defense Technology, Hefei, China]

5. Xiaoxia Cai

   National University of Defense Technology

   Affiliation as printed

   National University of Defense Technology, 58294 Hefei, Anhui, China, (e-mail: cxxygg@163.com)

   [College of Electronic Engineering National University of Defense Technology, Hefei, China]