A Sparsity-Based Passive Multistatic Detector
(2019) In IEEE Transactions on Aerospace and Electronic Systems 55(6). p.3658-3666- Abstract
- In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model... (More)
- In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model the IO signals as unknown without any specific structures. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d1c97f22-a178-48ff-9fd8-9cadb7f87e8a
- author
- Zhang, Xin ; Swärd, Johan LU ; Li, Hongbin ; Jakobsson, Andreas LU and Himed, Braham
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Transactions on Aerospace and Electronic Systems
- volume
- 55
- issue
- 6
- pages
- 3658 - 3666
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85071127370
- ISSN
- 0018-9251
- DOI
- 10.1109/TAES.2019.2895710
- language
- English
- LU publication?
- yes
- additional info
- This work was supported in part by the National Science Foundation under grant ECCS-1609393, in part by the Swedish Research Council, and in part by the Crafoord's and Carl Trygger's foundations.
- id
- d1c97f22-a178-48ff-9fd8-9cadb7f87e8a
- date added to LUP
- 2019-05-30 21:12:30
- date last changed
- 2022-06-30 17:47:21
@article{d1c97f22-a178-48ff-9fd8-9cadb7f87e8a, abstract = {{In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model the IO signals as unknown without any specific structures.}}, author = {{Zhang, Xin and Swärd, Johan and Li, Hongbin and Jakobsson, Andreas and Himed, Braham}}, issn = {{0018-9251}}, language = {{eng}}, number = {{6}}, pages = {{3658--3666}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Aerospace and Electronic Systems}}, title = {{A Sparsity-Based Passive Multistatic Detector}}, url = {{http://dx.doi.org/10.1109/TAES.2019.2895710}}, doi = {{10.1109/TAES.2019.2895710}}, volume = {{55}}, year = {{2019}}, }