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Journal ArticleDOI

Jamming power allocation strategy for MIMO radar based on MMSE and mutual information

Lulu Wang, +3 more
- 01 Jul 2017 - 
- Vol. 11, Iss: 7, pp 1081-1089
TLDR
In this paper, the power allocation for MIMO radar is investigated based on two criteria, namely the minimum mean square error (MMSE) for target estimation and the mutual information (MI) between the radar echo and the target impulse response.
Abstract
Jamming in defence applications is increasingly difficult because of advanced signal processing countermeasures. The jamming power allocation techniques for MIMO radar are investigated based on two criteria, namely the minimum mean square error (MMSE) for target estimation and the mutual information (MI) between the radar echo and the target impulse response. Different jamming power allocation strategies are obtained using the two criteria, respectively. Furthermore, the robust jamming power allocation strategies are studied when the target, environment or waveform information are not perfectly known. The worst case performance is optimised considering two cases of uncertainty. The analysis indicates that the least favourable sets (LFSs) of the MMSE- and MI-based robust jamming are different if the radar waveform power and the target power spectral density (PSD) lie in the uncertainty sets which are confined by known upper and lower bounds. The LFSs of the MMSE- and MI-based robust jamming are the same if the target PSD and the noise PSD lie in the uncertainty sets. Results are useful for the implementation of cognitive jammer.

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Citations
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Journal ArticleDOI

Low probability of intercept-based distributed MIMO radar waveform design against barrage jamming in signal-dependent clutter and coloured noise

TL;DR: It is illustrated that to minimise the total transmission power, the optimal waveform should match with the target, clutter, jamming and coloured noise, and demonstrated that the LPI performance of the MIMO radar system can be significantly improved by employing the proposed radar waveform design scheme.
Journal ArticleDOI

Adaptive Jamming Waveform Design for Distributed Multiple‐Radar Architectures Based on Low Probability of Intercept

TL;DR: This paper investigates the problem of low probability of intercept (LPI)‐based adaptive jamming waveform design for distributed multiple‐radar architectures and shows that the LPI performance of the smart jammer can be efficiently improved by exploiting the proposed jammingWaveform design criteria.
Proceedings ArticleDOI

Optimal Jamming Frequency Selection for Cognitive Jammer based on Reinforcement Learning

TL;DR: A cognitive jammer is developed which can adaptively and optimally jam the radar and protect the target from being detected and the JNSR of the proposed method is significantly larger.
Journal ArticleDOI

Adaptive resource management in multiple targets tracking for co-located multiple input multiple output radar

TL;DR: An adaptive resource management in tracking for co-located MIMO radar is proposed, where the sub-array number, the illuminated targets set and the transmitting waveform of the system can be controlled.
Journal ArticleDOI

Adaptive simultaneous multibeam resource management for colocated MIMO radar in multiple targets tracking

TL;DR: A novel resource management optimization model for the colocated MIMO radar in multiple targets tracking is proposed, where the average time and energy resource consumption of the system are minimized under the guarantee that the illuminated targets can be effectively detected.
References
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Journal ArticleDOI

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TL;DR: The use of information theory to design waveforms for the measurement of extended radar targets exhibiting resonance phenomena is investigated and the target impulse response is introduced to model target scattering behavior.
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