A5006092018- Antenna Design and Optimization
- Radar Systems and Signal Processing
- Direction-of-Arrival Estimation Techniques
- Neural Networks and Applications
- Advanced SAR Imaging Techniques
- VLSI and FPGA Design Techniques
- Full-Duplex Wireless Communications
- VLSI and Analog Circuit Testing
- Blind Source Separation Techniques
- Ocean Waves and Remote Sensing
- Antenna Design and Analysis
University of Electronic Science and Technology of China
2023-2025
Yibin University
2025
Designing waveforms with a Constant Modulus Constraint (CMC) to achievedesirable Slow-Time Ambiguity Function (STAF) characteristics is significantly important in radar technology. The problem NP-hard, due its non-convex quartic objective function and CMC constraint. Existing methods typically involve model-based approaches relaxation data-driven Deep Neural Networks (DNNs) methods, which face the challenge of dataimitation. We observe that Complex Circle Manifold (CCM) naturally satisfies...
The transceiver design with constant modulus constraints (CMC) is the key issue in integrated sensing and communication (ISAC) systems. Usually, existing methods assume prior knowledge of target clutter for precisely known, which brings challenges to imprecise scenarios practical applications. To address issue, robust ISAC proposed. We jointly maximize averaged signal-to-interference-plus-noise ratio (SINR) achievable sum-rate (ASR) communication, subject CMC transmit codes spherical (SPC)...
In this paper, we study the multiple-input multiple-output (MIMO) radar transmit waveform design method for beampattern matching. The purpose is to approximate actual one and minimize cross-correlation sidelobes under constant modulus constraint (CMC). Due CMC, problem non-convex, existing methods solve it with relaxation, resulting in performance degradation. Different from these methods, notice that CMC product of complex circles (CC). Based on physical characteristic, direct matching...
The design of the constant-modulus waveform for Doppler ambiguity function shaping in slow-time domain is key technology cognitive radar systems. problem non-convex fourth-order optimization with constraints on waveform. existing methods mainly solve by relaxing objective function, but relaxation will inevitably lead to error. We noticed that original a natural unconstrained Complex Circle Manifold (CCM), and its process equivalent particle moving high-dimensional plane. Based this feature,...