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Joint waveform and guidance control optimization by statistical linearisation for target rendezvous
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
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.
- Subjects :
- cognitive radar
Kalman Filter (KF)
Computer science
Doppler radar
Joint Waveform and Guidance Control Optimization (JWGCO)
020206 networking & telecommunications
02 engineering and technology
Linear Quadratic Gaussian control (LQG)
Signal
adaptive waveform design
law.invention
Radar engineering details
Signal-to-noise ratio
Control theory
law
0202 electrical engineering, electronic engineering, information engineering
Chirp
Waveform
Cognitive rendezvous
Radar
Energy (signal processing)
Fisher Information Matrix (FIM)
Cramér-Rao Lower Bound (CRLB)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....aadc87e952f7cdd09542435ad0ddb686