Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System

Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou, Sana Salous

Research output: Contribution to journalArticle

7 Citations (Scopus)
12 Downloads (Pure)

Abstract

This paper investigates the problem of low probability of intercept-based optimal power allocation (LPI-OPA) for an integrated multistatic radar and communication system, which consists of multiple transmitters operating at different frequencies, a radar receiver, and a communication receiver (CR). The integrated multistatic radar and communication system is capable of fulfilling the requirements of both radar and communication subsystems. The key tenet of the integrated system is to minimize the total power consumption by optimizing the transmit power allocation at each transmitter for radar waveforms and information signals, which is constrained by a predetermined target detection performance for the RR and a desired information rate for the CR. Since the analytical closed-form expression of the probability of detection is not tractable, its upper bound is derived. We analytically show that the resulting optimization problem can be reformulated as two subproblems, which can be solved by an efficient solution procedure based on the approach of linear programming and the Karush-Kuhn-Tuckers optimality conditions. Simulation results are provided to show that the LPI performance of the integrated multistatic radar and communication system can significantly be enhanced by employing our proposed LPI-OPA scheme.

Original languageEnglish
Pages (from-to)983-994
Number of pages12
JournalIEEE Systems Journal
Volume14
Issue number1
Early online date9 Aug 2019
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Information rate
  • integrated multistatic radar and communication system
  • low probability of intercept (LPI)
  • optimal power allocation (PA)
  • probability of detection

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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