Abstract
In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar net- work. Then, without any prior knowledge of hostile inter- cept receiver, a novel fuzzy chance-constrained program- ming (FCCP) based security information optimization scheme is presented to achieve enhanced LPID perform- ance in radar network systems, which focuses on minimiz- ing the achievable mutual information (MI) at interceptor, while the attainable MI outage probability at radar net- work is enforced to be greater than a specified confidence level. Regarding to the complexity and uncertainty of elec- tromagnetic environment in the modern battlefield, the trapezoidal fuzzy number is used to describe the threshold of achievable MI at radar network based on the credibility theory. Finally, the FCCP model is transformed to a crisp equivalent form with the property of trapezoidal fuzzy number. Numerical simulation results demonstrating the performance of the proposed strategy are provided.
Highlights
Radar network architecture, which often refers to distributed multiple-input multiple-output (MIMO) radar [1], is pioneered by Fisher in [2] and has drawn considerable attentions due to its advantage of signal and spatial diversities
When the prior knowledge of intercept receiver is unavailable, a novel fuzzy chance-constrained programming (FCCP) based security information optimization algorithm is formulated to minimize the achievable mutual information (MI) at intercept receiver, while the achievable MI outage probability at radar network is enforced to be greater than a specified confidence level
Numerical simulations are provided to demonstrate that our proposed algorithm can improve the low probability of identification (LPID) performance for radar networks to defend against passive intercept receivers
Summary
Radar network architecture, which often refers to distributed multiple-input multiple-output (MIMO) radar [1], is pioneered by Fisher in [2] and has drawn considerable attentions due to its advantage of signal and spatial diversities. Shi et al extend the work in [16] and provide a security information based optimal power allocation scheme for LPID performance in radar networks [17], [18]. This paper will investigate the FCCP based security information optimization for LPID enhancement in radar networks. When the prior knowledge of intercept receiver is unavailable, a novel FCCP based security information optimization algorithm is formulated to minimize the achievable MI at intercept receiver, while the achievable MI outage probability at radar network is enforced to be greater than a specified confidence level. To the best of authors’ knowledge, no literature discussing FCCP based security information optimization for improved LPID performance in radar network systems was conducted prior to this work.
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