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Mainlobe jamming suppression for distributed radar via joint blind source separation
- Source :
- IET Radar, Sonar & Navigation. 13:1189-1199
- Publication Year :
- 2019
- Publisher :
- Institution of Engineering and Technology (IET), 2019.
-
Abstract
- In the presence of the mainlobe jamming, the performance of the modern radar system would degrade significantly, i.e. increasing probabilities of false alarm and loss detection. In this study, the authors consider the jamming suppression problem in noise environment for the distributed radar with single transmitter and multiple receivers, where the multiple jammings enter into all the receivers through the main beam of the antennas. A framework based on joint blind source separation (JBSS) is proposed. First, the signal model accounting for both the target and jammings is developed. Second, the target and the jamming signals are separated by exploiting the generalised non-orthogonal joint diagonalisation JBSS method. Then, the separated target signals are employed to find the target location with the elliptic location method. Finally, they assess the performance in noise environment by numerical simulations, and the results show that the proposed algorithm can suppress successfully quite a lot different kinds of jamming signals, e.g. the noise-modulated and the digital radio-frequency memory jammings.
- Subjects :
- Computer science
Transmitter
020206 networking & telecommunications
Jamming
02 engineering and technology
Digital radio
Signal
Blind signal separation
law.invention
Noise
law
0202 electrical engineering, electronic engineering, information engineering
False alarm
Electrical and Electronic Engineering
Radar
Algorithm
Subjects
Details
- ISSN :
- 17518792
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IET Radar, Sonar & Navigation
- Accession number :
- edsair.doi...........4afb541ac35b0ea1afe10d00eff26c62
- Full Text :
- https://doi.org/10.1049/iet-rsn.2018.5434