Target Capacity Based Power Allocation Scheme in Radar Network

Jinhui DAI; Junkun YAN; Penghui WANG; Hongwei LIU

doi:10.11999/JEIT200873

Volume 43 Issue 9

Sep. 2021

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Jinhui DAI, Junkun YAN, Penghui WANG, Hongwei LIU. Target Capacity Based Power Allocation Scheme in Radar Network[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2688-2694. doi: 10.11999/JEIT200873

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Jinhui DAI, Junkun YAN, Penghui WANG, Hongwei LIU. Target Capacity Based Power Allocation Scheme in Radar Network[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2688-2694. doi: 10.11999/JEIT200873

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Target Capacity Based Power Allocation Scheme in Radar Network

doi: 10.11999/JEIT200873

National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (62071345), The National Science Fund for Distinguished Yong Scholars (61525105), The Fund for Foreign Scholars in University Research and Teaching Programs (111 project, B18039), The Natural Science Foundation of Shaanxi Province (2020JQ-297), The Aeronautical Science Foundation of China (201920081002), The Foundation of National Radar Signal Processing Laboratory (61424010406)

Received Date: 2020-10-12
Rev Recd Date: 2021-01-02

Available Online: 2021-01-07

Publish Date: 2021-09-16

Abstract

Abstract

In view of the fact that low power resource utilization rate exists in radar network, a Target Capacity based Power Allocation (TC-PA) scheme is proposed to increase the number of the targets that satisfy tracking accuracy requirements. Firstly, this scheme formulates the power allocation model of radar network as a non-smooth and non-convex optimization problem. Then the original problem is relaxed into a smooth and non-convex problem through introducing Sigmoid function. Finally, the relaxed non-convex problem is solved by utilizing the Proximal Inexact Augmented Lagrangian Multiplier Method (PI-ALMM). Simulation results show that the PI-ALMM can quickly converge to a stationary point for solving the non-convex optimization problem with linear constraints. Moreover, the proposed TC-PA scheme outperforms the traditional uniform power allocation method and genetic algorithm, in terms of target capacity.
- Radar network,
- Multiple target tracking,
- Resource allocation,
- Non-convex optimization

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References(23)

References

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