Joint waveform and guidance control optimization by statistical linearisation for target rendezvous

Date

2021-06-18

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Department

Type

Conference paper

ISSN

1097-5659

Format

Citation

Benavoli A, Balleri A, Farina A. (2021) Joint waveform and guidance control optimization by statistical linearisation for target rendezvous. In: 2021 IEEE Radar conference, 10-14 May 2021, Atlanta, Georgia and Online

Abstract

The algorithm proposed in this paper jointly selects the transmitted waveform and the control input so that a radar sensor on a moving platform can prosecute a target by minimising a predefined cost that accounts for the energy of the transmitted radar signal, the energy of a platform control input and the relative position error between the platform and the target. The cost is a function of the waveform design and control input. The algorithm extends the existing Joint Waveform Guidance and Control Optimization (JWGCO) solution to nonlinear equations to account for the dependency of the radar measurement accuracies on Signal to Noise Ratio (SNR) and, as a consequence, on the target position. The performance of the proposed solution based on statistical linearisation is assessed with a set of simulations for a pulsed Doppler radar transmitting linearly frequency modulated chirps.

Description

Software Description

Software Language

Github

Keywords

Cognitive rendezvous, adaptive waveform design, cognitive radar, Fisher Information Matrix (FIM), Cramér-Rao Lower Bound (CRLB), Linear Quadratic Gaussian control (LQG), Kalman Filter (KF), Joint Waveform and Guidance Control Optimization (JWGCO)

DOI

Rights

Attribution-NonCommercial 4.0 International

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