- Advanced Wireless Communication Techniques
- Error Correcting Code Techniques
- Wireless Communication Networks Research
- Remote Sensing and LiDAR Applications
- Advanced MIMO Systems Optimization
- Algorithms and Data Compression
- Advanced Neural Network Applications
- Coding theory and cryptography
- 3D Surveying and Cultural Heritage
- Blind Source Separation Techniques
University of Electronic Science and Technology of China
2023
National Central University
2005-2009
In this letter, we propose three noncoherent block coded twisted amplitude and phase shift keying (NBC-TAPSK) schemes which are derived from block-coded MPSK. We also a new detector corresponding distance for nonconstant-energy signals over the additive white Gaussian noise (AWGN) channel. At high data rates, NBC-8TAPSK has best bit error performance among all schemes.
For coherent detection, block-coded modulation is a bandwidth efficient scheme. In this paper, we propose theorems about the error performance of using M-ary phase-shift keying (MPSK) for noncoherent detection. Based on these theorems, novel scheme detection called MPSK. The proposed provides flexible designs block codes with different code rate, length and performance. Good can be easily obtained by properly choosing binary linear as component codes. Moreover, new decoded multistage...
In this letter, we propose a novel bandwidth-efficient noncoherent trellis-coded MPSK scheme, in which particularly designed differential encoder is added front of the trellis encoder. With encoder, proposed by Ungerboeck no longer noncoherently catastrophic and thus achieves better error performance. Moreover, new codes which, for have bit rates than Ungerboeck's are found computer searches.
We investigate block-coded QAM constructed by multilevel coding for the noncoherent generalized likelihood ratio test (GLRT) detector. For AWGN channel, we derive a new GLRT detector and corresponding distance. The minimum distance of is derived two construction (NBC-QAM) are proposed accordingly. In NBC-QAM scheme, error performance can be optimized adjusting constellation. superior performances verified simulation results.
The purpose of this paper is to improve the detection accuracy UAV small target in high-voltage tower scene. Firstly, constructs data set with three different models and enhances set. Then, Mask R-CNN used as network architecture algorithm improved. improved for 20×20∼32×32 targets increased 84.63%, missed rate reduced 13.34%, false 16.49%.