Nature-inspired waveform optimisation for range spread target detection in cognitive radar
| Autor: | Li Meng, Hua Chen, Lirong Gao, Kaiming Li, Qing Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
cognitive radar
Computer science optimisation probability kalman filters Energy Engineering and Power Technology 02 engineering and technology range spread target detection beetle antennae search algorithm Search algorithm 0202 electrical engineering electronic engineering information engineering Maximum a posteriori estimation Waveform radar detection range-spread target detection Bat algorithm particle swarm optimisation semidefinite relaxation technique search problems modified particle swarm optimisation algorithm 020208 electrical & electronic engineering General Engineering Particle swarm optimization target scattering coefficients 020206 networking & telecommunications object detection novel nature-inspired waveform optimisation framework waveform optimisation problem Kalman filter nature-inspired algorithms Object detection nature-inspired waveform optimisation approach antenna arrays lcsh:TA1-2040 Relaxation (approximation) lcsh:Engineering (General). Civil engineering (General) Algorithm Software |
| Zdroj: | The Journal of Engineering (2019) |
| DOI: | 10.1049/joe.2019.0527 |
| Popis: | The waveform optimisation problem in cognitive radar is non-convex and will have sub-optimal solutions when solved by the semi-definite relaxation (SDR) technique. Here, a novel nature-inspired waveform optimisation framework is proposed for range-spread target detection in cognitive radar. First, the waveform optimisation problem is formulated using maximum a posteriori probability and Kalman filtering to estimate the target scattering coefficients. To solve this problem more accurately and efficiently, three nature-inspired algorithms (modified particle swarm optimisation algorithm, Bat Algorithm, and Beetle Antennae Search algorithm), as a nature-inspired waveform optimisation (NIWO) approach is proposed. It is demonstrated through computer simulations that the proposed NIWO approach significantly outperforms the SDR approach, showing a promising tool for waveform optimisation in cognitive radar. |
| Databáze: | OpenAIRE |
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