A5035562670- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- Antenna Design and Optimization
- Radar Systems and Signal Processing
- UAV Applications and Optimization
- Extraction and Separation Processes
- Power Line Communications and Noise
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced Wireless Communication Technologies
Chongqing University of Arts and Sciences
2022-2024
Chongqing University
2022-2024
Harbin Engineering University
2010-2012
Direction of arrival (DOA) estimation under impulsive noise has always been an important research area in array signal processing. The traditional methods mostly rely on prior parameters and have high computational complexity. Based the filtering theory, we present effective pretreatment technology to cut out impulse mixed received data employ nonuniform linear improve performance further. First, according amplitude characteristics noise, is proposed based median filter sliding average...
A virtual multi-element uniform linear array is constructed through fractional lower order covariance matrix of the minimum redundant in presence impulsive noise. Based on and reconstructed matrix, a novel maximum likelihood (ML) algorithm proposed. The proposed utilized few elements expanded number effective aperture array, while significantly improving performance original ML algorithms. In to fit direction finding based bee colony applied objective function finding. Monte-Carlo...
The existing direction of arrival (DOA) estimation algorithms based on the electromagnetic vector sensors array barely deal with coexisting independent and coherent signals. A two-dimensional finding method using an L-shape is proposed. According to this method, DOAs signals are estimated separately, so that aperture can be exploited sufficiently. Firstly, by signal parameters via rotational invariance techniques, influence eliminated utilizing property Then data covariance matrix containing...
A two dimensional (2-D) DOA estimation method is proposed for non-circular sources in this paper. According to the non-circularity of sources, we utilize both receiving signal and its conjugate estimate angles aiming at expanding array virtually, which can improve properties low noise ratio (SNR) small number elements. Then based on principle ESPRIT, are estimated. The new utilizes cross covariance matrix simple pair matching cut down computation load. Finally, a 2-D coherent via spatial...
Abstract This paper investigates the design of transmit beamforming in an integrated sensing and communication system, where unmanned aerial vehicle (UAV) equipped with a uniform linear array (ULA) transmits combined information‐carrying dedicated signals to perform multi‐user simultaneously sense potential targets. First, is formulated as series non‐convex optimisation problems, then jointly information maximise minimum rate under optimised UAV deployment location, subject beampattern gain...
Direction of arrival (DOA) estimation under impulsive noise has been an important research area. Most present methods are based on the fractional lower order statistics, while computation load is heavy, and property degrades when impact strong. To get around this conundrum, a novel solution presented, where noncircular signals introduced for modelling, filtering preprocessing method to eliminate noise, matrix reconstruction presented smooth residual noise. Firstly, implemented cut out...
In this paper, we present a novel direction of arrival (DOA) estimation method for coherent signals under impulse noise environment, which is modelled by the symmetric α stable (SαS) distribution. The main idea our work utilizing pre-processing technique to eliminate noise, so that common de-coherent techniques based on second-order-statistics could be adopted. set up proper threshold value array data, most part can cut out. By researching distribution feature and amplitude property SαS...