Game theoretic design for polarimetric MIMO radar target detection

Gogineni, Sandeep; Nehorai, Arye

doi:10.1016/j.sigpro.2011.11.024

Cited by 51 publications

(39 citation statements)

References 25 publications

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“…However, as seen in the simulation results, the algorithm converges within five iterations. Before the beginning of the game, the radars compute the optimum SDR value using (5), which is found to be γ * ki = 3.76 for all radars. The corresponding λ * ki is equal to 0.14 for all k, i.…”

Section: Resultsmentioning

confidence: 99%

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Game theoretic power allocation technique for a MIMO radar network

Panoui

Lambotharan

Chambers

2014

2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)

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We propose a waveform power allocation technique for a set of clusters of radars in a radar network using a game theoretic method. Each cluster consists of a number of radars forming a MIMO configuration. There is no communication between the clusters in the network, hence the power allocation in the radars within each cluster is performed using a non-cooperative game theoretic technique. The aim of each cluster of radars in the network is to minimise the total power used by the radars in its cluster while achieving a target detection criterion. The convergence of the algorithm to the Nash equilibrium is demonstrated.

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Section: Resultsmentioning

confidence: 99%

“…In [4] the authors modelled the interaction between a radar and a smart target equipped with a jammer using a zero-sum game. Using the signal polarization properties, the work in [5] proposed a polarimetric design scheme for distributed MIMO radar detection, also using zero-sum games.…”

Section: Introductionmentioning

confidence: 99%

Game theoretic power allocation technique for a MIMO radar network

Panoui

Lambotharan

Chambers

2014

2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)

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“…In 2011, Gogineni and Nehorai first applied game theory to the radar field. They proposed a polarimetric waveform design scheme for distributed MIMO radar based on game theory [12]. In later work conducted by Panoui and Deligiannis, the power allocation schemes of Multistatic MIMO radar network based on different game models were investigated.…”

Section: Introductionmentioning

confidence: 99%

Radar Waveform Strategy Based on Game Theory

Wang¹,

Zhao²,

Wang³

et al. 2019

RADIOENGINEERING

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In this paper, we proposed two waveform design methods based on game theory to address the problem of radar detection performance degradation in electronic warfare. Since radar and jammer are completely hostile, their interaction is modeled as two-person zero-sum game. Signal-to-Interference-plus-Noise Ratio (SINR) criterion is used in formulating the utility functions. The existence of Nash equilibrium in games is verified by mathematical derivation. Different game waveform strategies are designed for different information levels of radar and jammer. Iterative water-filling method and two-step waterfilling method are designed to achieve Cournot equilibrium and Stackelberg equilibrium, respectively. Simulation results reveal that game strategies can bring higher radar detection performance than No game signal, especially when jammer power is lower than radar power. Radar detection probability based on game theory can be increased by up to 10% without changing the power. This demonstrates game strategies have great potentials for radar waveform design in electronic warfare.

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“…In radar systems, game theory has been used to tackle various problems. Specifically, zero-sum games were used in [1] and [2] for polarimetric waveform design as an interaction between a MIMO radar and a smart jammer. Moreover, radar and jammer conflicts have been investigated in [3] and [4].…”

Section: Introductionmentioning

confidence: 99%

Power allocation game between a radar network and multiple jammers

Deligiannis

Rossetti

Panoui

et al. 2016

2016 IEEE Radar Conference (RadarConf)

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We investigate a competitive power allocation problem for a MIMO radar system in the presence of multiple targets equipped with jammers. The main objective of the radar network is to minimize the total power emitted by the radars while achieving a specific detection criterion for each of the targets, while the intelligent jammers have the ability to observe the radar transmission power and consequently decide its jamming power to maximize the interference to the radars. In this context, we incorporate convex optimization methods, noncooperative game theoretic techniques and hypothesis testing to identify jammers and to determine the optimal power allocation. Furthermore, we present a proof on the existence and uniqueness of the Nash Equilibrium (NE). The simulation results confirm the effectiveness of the proposed algorithm and demonstrate the convergence of the game.

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Game theoretic design for polarimetric MIMO radar target detection

Cited by 51 publications

References 25 publications

Game theoretic power allocation technique for a MIMO radar network

Game theoretic power allocation technique for a MIMO radar network

Radar Waveform Strategy Based on Game Theory

Power allocation game between a radar network and multiple jammers

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