A Sparsity-Based Passive Multistatic Detector
| Autor: | Xin Zhang, Johan Sward, Andreas Jakobsson, Braham Himed, Hongbin Li |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
020301 aerospace & aeronautics
Computer science business.industry Detector Aerospace Engineering 02 engineering and technology Passive radar symbols.namesake 0203 mechanical engineering Frequency domain symbols Electronic engineering Wireless Leverage (statistics) Electrical and Electronic Engineering business Doppler effect Frequency modulation Computer Science::Cryptography and Security |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 55:3658-3666 |
| ISSN: | 2371-9877 0018-9251 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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