1 |
G. Bacci et al., A game-theoretic approach for energy-efficient detection in radar sensor networks, in Proc. IEEE Sensor Array Multichannel Signal Process. Workshop (Hoboken, NJ, USA), June 2012, pp. 157-160.
|
2 |
F. Zhao et al., Game-theoretic beamforming and power allocation in MIMO cognitive radio systems with transmitter antenna correlation, Mobile Inf. Syst. 2015 (2015), 1-7.
|
3 |
H. Chen, S. Ta, and B. Sun, Cooperative game approach to power allocation for target tracking in distributed MIMO radar sensor networks, IEEE Sens. J. 15 (2015), no. 10, 5423-5432.
DOI
|
4 |
A. Ajorloo, A. Amini, and M. H. Bastani, A compressive sensing-based colocated MIMO radar power allocation and waveform design, IEEE Sens. J. 18 (2018), no. 22, 9420-9429.
DOI
|
5 |
N. Garcia et al., Resource allocation in MIMO radar with multiple targets for non-coherent localization, IEEE Trans. Signal Process. 62 (2014), no. 10, 2656-2666.
DOI
|
6 |
J. Yan et al., Joint beam selection and power allocation for multiple target tracking in netted colocated MIMO radar system, IEEE Trans. Signal Process. 64 (2016), no. 24, 6417-6427.
DOI
|
7 |
Y. Yu et al., Power allocation and waveform design for the compressive sensing based MIMO radar, IEEE Trans. Aerosp. Electron. Syst. 50 (2014), no. 2, 898-909.
DOI
|
8 |
L. Wang et al., Jamming power allocation strategy for MIMO radar based on MMSE and mutual information, IET Radar Sonar Nav. 11 (2017), no. 7, 1081-1089.
DOI
|
9 |
B. Ma et al., A joint scheme of antenna selection and power allocation for localization in MIMO radar sensor networks, IEEE Commun. Lett. 18 (2014), no. 12, 2225-2228.
DOI
|
10 |
X. Song et al., A joint resource allocation method for multiple targets tracking in distributed MIMO radar systems, EURASIP J. Adv. Signal Process. 65 (2018).
|
11 |
L. Xing et al., MIMO radar and target Stackelberg game in the presence of clutter, IEEE Sens. J. 15 (2015), no. 12, 6912-6920.
DOI
|
12 |
A. Panoui, S. Lambotharan, and J. A. Chambers, Game theoretic distributed waveform design for multistatic radar networks, IEEE Trans. Aerosp. Electron. Syst. 52 (2016), no. 4, 1855-1865.
DOI
|
13 |
C. Shi et al., Low probability of intercept-based optimal power allocation scheme for an integrated multistatic radar and communication system, IEEE Syst. J. 14 (2019), no. 1, 983-994.
DOI
|
14 |
C. Shi et al., Joint subcarrier assignment and power allocation strategy for integrated radar and communications system based on power minimization, IEEE Sens. J. 19 (2019), no. 23, 11167-11179.
DOI
|
15 |
C. Shi et al., Nash bargaining game-theoretic framework for power control in distributed multiple-radar architecture underlying wireless communication system, Entropy 20 (2018), 267.
DOI
|
16 |
C. Shi et al., Power control scheme for spectral coexisting multistatic radar and massive MIMO communication systems under uncertainties: A robust Stackelberg game model, Digit. Signal Process. 94 (2019), 146-155.
DOI
|
17 |
C. Shi et al., Non-cooperative game theoretic power allocation strategy for distributed multiple-radar architecture in a spectrum sharing environment, IEEE Access 6 (2018), 17787-17800.
DOI
|
18 |
D. Mishra and G. C. Alexandropoulos, Jointly optimal spatial channel assignment and power allocation for MIMO SWIPT systems, IEEE Wirel. Commun. Lett. 7 (2018), no. 2, 214-217.
DOI
|
19 |
S. K. Injeti, A Pareto optimal approach for allocation of distributed generators in radial distribution systems using improved differential search algorithm, J. Electr. Syst. Inf. Technol. 5 (2017), no. 3, 908-927.
DOI
|
20 |
D. Wu, Y. Cai, and M. Guizani, Auction-based relay power allocation: Pareto optimality, fairness, and convergence, IEEE Trans. Commun. 62 (2014), no. 7, 2249-2259.
DOI
|
21 |
D. Anastasios et al., Game-theoretic power allocation and the Nash equilibrium analysis for a multistatic MIMO radar network, IEEE Trans. Signal Process. 65 (2017), no. 24, 6397-6408.
DOI
|
22 |
A. Deligiannis, S. Lambotharan, and J. A. Chambers, Game theoretic analysis for MIMO radars with multiple targets, IEEE Trans. Aerosp. Electron. Syst. 52 (2016), no. 6, 2760-2774.
DOI
|
23 |
J. Yan et al., Robust chance constrained power allocation scheme for multiple target localization in colocated MIMO radar system, IEEE Trans. Signal Process. 66 (2018), no. 15, 3946-3957.
DOI
|
24 |
X. Wang et al., An approach to the modulation recognition of MIMO radar signals, EURASIP J. Wirel. Commun. Netw. 2013 (2013), no. 66.
|
25 |
H. Gao et al., Antenna allocation in MIMO radar with widely separated antennas for multi-target detection, Sensors 14 (2014), no. 11, 20165-20187.
DOI
|
26 |
S. Gogineni and A. Nehorai, Game theoretic design for polarimetric MIMO radar target detection, Signal Process. 92 (2012), no. 5, 1281-1289.
DOI
|
27 |
X. Song et al., The MIMO radar and jammer games, IEEE Trans. Signal Process. 60 (2012), no. 2, 687-699.
DOI
|
28 |
M. Piezzo et al., Non-cooperative code design in radar networks: a game-theoretic approach, EURASIP J. Adv. Signal Process. 63 (2013), no. 1.
|
29 |
T. Harikala and R. V. S. Satyanarayana, Power efficient technique for MIMO radar using co-operative and non-co-operative game theory in wireless applications, Int. J. Recent Technol. Eng. 7 (2019), 273-278.
|