A5103093534- Advanced SAR Imaging Techniques
- Direction-of-Arrival Estimation Techniques
- Advanced Decision-Making Techniques
- Evaluation Methods in Various Fields
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Radar Systems and Signal Processing
- Tensor decomposition and applications
- Evolutionary Algorithms and Applications
- Evaluation and Optimization Models
Air Force Engineering University
2007-2023
Beijing University of Technology
2023
Multiobjective particle swarm optimization (MOPSO) has been proven effective in solving multiobjective problems (MOPs), which the evolutionary parameters and leaders are selected randomly to develop diversity. However, randomness would cause process uncertainty, deteriorates performance. To address this issue, a robust MOPSO with feedback compensation (RMOPSO-FC) is proposed. RMOPSO-FC provides novel closed-loop framework reduce negative influence of uncertainty. First, Gaussian (GP) models...
In this article, we focus on addressing the problem of DOD, DOA, and Doppler Frequency estimation with co-prime MIMO radar. Traditional spatial-temporal smoothing methods suffer from high operational complexity poor algorithm timeliness when overcoming inability a single snapshot virtual signal to be eigenvalue decomposed due rank loss problem. This drawback is particularly evident in process joint multi-dimensional parameter estimation. We first perform sampling received based array then...
Abstract This paper studies the two-dimensional DOA estimation of coherent targets. Subspace algorithm is usually used to solve this problem. Compared with subspace algorithm, tensor decomposition has significant advantages in accuracy and been widely field signal processing. However, research on mainly focuses incoherent Therefore, we study how use improve Firstly, construct echo model corresponding “Sum array” MIMO radar, then spatial smoothing process data problem covariance rank...