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Robust Spectrum Sensing Based on Hyperbolic Tangent in Gaussian and Non-Gaussian Noise Environments
会议论文
作者:
Qu, Hua
;
Xu, Xiguang
;
Zhao, Jihong
;
Yan, Feiyu
;
Wang, Weihua
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Detection performance
Energy detectors
Hyperbolic tangent
Impulsive noise environment
Non-Gaussian noise
Robust spectrum sensing
Semi-blind methods
Wide-band interference
Gaussian sum filtering using uncorrelatec conversion for nonlinear estimation
会议论文
作者:
Zhang, Yingjie
;
Lan, Jian
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Estimation performance
Gaussian sum filter
Gaussian Sum Filtering
Linear minimum mean-squared errors
Non-linear estimation
Posterior probability
Uncorrelated Conversion (UC)
Uncorrelated Conversion Based Filter (UCF)
Experimental research on wind flows severely interfered by sea waves
会议论文
4th International Conference on Sensors, Measurement and Intelligent Materials (ICSMIM), Shenzhen, PEOPLES R CHINA, 2016-01-01
作者:
Xu Fuyou
;
Li Wenjiang
;
Zhang Zhe
;
Lou Wenjuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/09
Sea wave
Aerodynamic interference
Wind tunnel test
Non-Gaussian performance
A new nonlinear state estimator using the fusion of multiple extended Kalman filters
会议论文
作者:
Duan, Zhansheng
;
Li, Xiaoyun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Degraded performance
First-order Taylor series
Gaussian assumption
Model set design
Multiple model estimation
Non-linear filtering problems
Nonlinear state estimators
Taylor series expansions
An improved particle filter algorithm and its performance analysis
期刊论文
Advances in Information Sciences and Service Sciences, 2012, 卷号: 4, 期号: 23, 页码: 547-555
作者:
Li, Ming
;
He, Yong-Feng
;
Nian, Fu-Zhong
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  |  
浏览/下载:75/0
  |  
提交时间:2020/11/14
Artificial fish swarm algorithms
Chaotic search
Improved particle filter
Non-Gaussian systems
Particle degradation
Particle filter
Particle filter algorithms
Performance analysis
Tracking Performance Under Additive Gaussian Noise and Control Energy Constraint for Networked Control Systems
会议论文
作者:
Ding, Li
;
Chi, Ming
;
Guan, Zhi-Hong
;
Yuan, Fu-Shun
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Tracking performance
white Gaussian noise
control energy constraint
two-parameter control
unstable poles
non-minimum phase zeros
Design and simulation of CMOS star sensor lens with large relative aperture and wide field (EI CONFERENCE)
会议论文
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Zhong X.
;
Jin G.
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浏览/下载:57/0
  |  
提交时间:2013/03/25
A 50mm focal length
F/1.25
Gaussian type optical system is designed in this paper
which has 20field of view. Actual star image adding optical cross-talk effect of CMOS(Complementary Metal Oxide Semiconductor)
detector is simulated by non-sequential ray tracing in ZEMAX optical design and analysis software to evaluate its performance. The distortion relative to image spot centriod is introduced and calculated by simulated star images
which is less than 0.03% of lens in this paper. Thermal adaptability is discussed by opt-mechanic thermal analysis
which shows the RMS spot radius of marginal filed changes less than 0.7m under 10C temperature gradient
and changes less than 1m during homogeneous temperature changing from 40C to 40C. The results of analyses and simulations show the design of this lens can achieve the requirement of high precision CMOS star sensor well. 2011 IEEE.
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE)
会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Sun H.
;
Han H.-X.
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  |  
浏览/下载:50/0
  |  
提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring
precision
and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection
the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure
but in order to capture the change of the state space
it need a certain amount of particles to ensure samples is enough
and this number will increase in accompany with dimension and increase exponentially
this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"
we expand the classic Mean Shift tracking framework.Based on the previous perspective
we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis
Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism
used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation
and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information
this approach also inhibit interference from the background
ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Spreading of partially coherent Hermite-Gaussian beams through a non-Kolmogorov turbulence
期刊论文
optik, 2011
Wu, Guohua
;
Luo, Bin
;
Yu, Song
;
Dang, Anhong
;
Zhao, Tonggang
;
Guo, Hong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2015/11/12
Spreading
Non-Kolmogorov turbulence
Obesity
Partially coherent Hermite-Gaussian beams
SPACE OPTICAL COMMUNICATION
ATMOSPHERIC-TURBULENCE
LASER-COMMUNICATION
SYSTEM PERFORMANCE
MODEL
DIRECTIONALITY
FLUCTUATIONS
PROPAGATION
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