This paper presents a new mathematical framework based on tensor algebra to enhance joint waveform guidance and control optimization (JWGCO) in multi-radar and multi-target contexts. The framework optimally minimizes a quadratic cost function related to the radar signal's energy and target tracking, accommodating pre-assigned and independently determined targets. The tensor approach translates traditional matrices into N -dimensional tensors, enabling the use of the Hadamard product for optimal control solutions linked to the tensor Riccati algebraic equation.
Optimal Parallel Waveform Design and Tracking Control of Multi-Radar Systems Using Tensor Algebra / Farina, A.; Carletta, S.; Palmerini, G. B.; De Angelis, F.. - (2025), pp. 1-6. ( IEEE Radar Conference, 2025 Atlanta, GA (USA) ) [10.1109/RADAR52380.2025.11031984].
Optimal Parallel Waveform Design and Tracking Control of Multi-Radar Systems Using Tensor Algebra
Carletta S.;Palmerini G. B.;De Angelis F.
2025
Abstract
This paper presents a new mathematical framework based on tensor algebra to enhance joint waveform guidance and control optimization (JWGCO) in multi-radar and multi-target contexts. The framework optimally minimizes a quadratic cost function related to the radar signal's energy and target tracking, accommodating pre-assigned and independently determined targets. The tensor approach translates traditional matrices into N -dimensional tensors, enabling the use of the Hadamard product for optimal control solutions linked to the tensor Riccati algebraic equation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


