Weak Coding Signal Detection under the Background of Sea Clutter

2011 ◽  
Vol 383-390 ◽  
pp. 2077-2082
Author(s):  
Shi Hua Liu ◽  
Zhi Jian Sun ◽  
Wen Sheng ◽  
Zhong Ming Hu
Keyword(s):  
Signal Detection ◽  
Detection Probability ◽  
False Alarm Probability ◽  
Multi Layer Perceptron ◽  
Sea Clutter ◽  
Low Snr ◽  
Chaotic Signals ◽  
One Step ◽  
Three Stages ◽  
Barker Code

A new method of detection of coding signals under the background of sea clutter is presented. The process of signal detection consists of three stages: modeling sea clutter signals based on chaos, one-step ahead prediction of chaotic signals and detection decision making. In this method, models of chaotic signals were created in the form of multi-layer perceptron neural networks, coded signals take on 13-element Barker code. The experiment results show detection of coding signal by using this method has higher detection probability and lower false alarm probability and good performance of the whole detection although with a low SNR. This method turned out to be very robust to different chaotic signals.

Multi-Sensor N-P Criterion Fusion Detection Based on Weighting by SNR

2014 ◽  
Vol 1044-1045 ◽  
pp. 818-824
Author(s):  
Bo Fan Yang ◽  
Rui Wang ◽  
Gang Wang ◽  
Li Zhao
Keyword(s):  
Signal Detection ◽  
False Alarm ◽  
Sensor Fusion ◽  
Detection Probability ◽  
Detection System ◽  
False Alarm Probability ◽  
Radar Target ◽  
Low Snr ◽  
Simulation Results ◽  
Fusion Detection

Aiming at signal detection of radar target, concerning about on the basis of the influence of SNR on detection probability when false alarm probability is given based on N-P criterion, a kind of multi-sensor fusion detection based on SNR is put forward. It can improve system’s detection probability under the condition of required false alarm probability in the detection of low SNR signal. The simulation results show that the detection performance is significantly increased, no matter fusion detection system is composed of same sensors working in the same working point or different sensors.

An Improved Signal Detection Technique for OFDM System

2013 ◽  
Vol 347-350 ◽  
pp. 3527-3531
Author(s):  
Xiao Hong Wang ◽  
Feng Ming Li
Keyword(s):  
Computational Complexity ◽  
Channel Estimation ◽  
Signal Detection ◽  
Detection Probability ◽  
Roc Curves ◽  
Detection Technique ◽  
Ofdm System ◽  
Low Snr ◽  
Awgn Channel ◽  
Simulation Results

In this paper a signal detection technique based on pilots which are transmitted for channel estimation in OFDM system is proposed in AWGN channel. We analyse the algorithm based on pilots and derive an improved signal detection technique. The performance is compared in terms of detection probability and ROC curves are given. The simulation results show that the improved detection technique whose computational complexity is not high can increase the precision of the detection probability at low SNR.

The Application of Alterable Parameter Genetic Algorithm and Neural Network in Artillery Locating Radar Detecting Small Signal

2013 ◽  
Vol 645 ◽  
pp. 259-262
Author(s):  
Shang Guo Tan ◽  
Rui Dong Hou ◽  
Wei Pan
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Signal Processing ◽  
Signal Detection ◽  
Detection Probability ◽  
Frequency Estimation ◽  
Rbf Neural Network ◽  
Small Signal ◽  
Low Snr ◽  
Whitening Process

To perform effective radar small signal detection in low SNR, a signal-processing model is established. In the model, the feature factors that distinguish small signal from noise are defined with whitening process and feature decomposition frequency estimation, then the RBF parameters are optimized by using genetic algorithm and APGA-RBF neural network is formed to realize classification, thereby the small signal detection is completed. Results of simulation show that the detection probability is greatly increased as well as the performance of classification.

A 3D Model Watermarking Algorithm

2013 ◽  
Vol 798-799 ◽  
pp. 708-711
Author(s):  
Xiu Hu Tan
Keyword(s):  
Detection Probability ◽  
3D Model ◽  
False Alarm Probability ◽  
3D Models ◽  
Model Potential ◽  
Least Mean Square ◽  
New Approach ◽  
Geometry Model ◽  
3D Geometry ◽  
High Detection

The popularity of 3D content is on the rise since it provides an immersive experience to viewers. In this paper, we present a new approach to watermarking 3D models based on optimization statistics. Through choosing the vertexes, we are able to obtain to the embedded watermark that has the least modified to topology transform of the 3D geometry model, and then project the watermark to the space that has the least mean square error value. So, we obtain that the robustness of the approach lies in hiding a watermark in the space that is least susceptible to the 3D model potential modification. Through analysis and constraint the conditions, we can obtain a high detection probability, a low false alarm probability. The robustness of our method is demonstrated by various attacks through computer simulation.

Node Information Collection Routing Algorithm Using Mobile Agent in WSN Initialization Stage

2013 ◽  
Vol 462-463 ◽  
pp. 64-67 ◽  
Author(s):  
Jia Jun Chen ◽  
Chang Feng Xing ◽  
Zhi Feng Cheng ◽  
Xiao Bei Wang
Keyword(s):  
Data Collection ◽  
Mobile Agent ◽  
Routing Algorithm ◽  
Total Energy Consumption ◽  
Fixed Direction ◽  
Collection Data ◽  
One Step ◽  
Three Stages ◽  
Direction Information ◽  
Start Node

We propose a mobile agent fixed-direction one step routing algorithm based on modeling WSN node data collection task. This algorithm divides the data collection task into three stages to finish and they are searching start node for MA data collection, data collection and returning the sink node. MA determines the next hop node according to the surrounding node information sensed and current move direction information. Simulation result shows that the proposed algorithm can ensure that all nodes information in WSN is collected. Then, it can effectively reduce the total number of hops for information transferring and the node total energy consumption compared to LGF algorithm in C\S mode

scholarly journals A Novel Sensing Strategy Based on Energy Detector for Spectrum Sensing

2019 ◽  
Vol 9 (21) ◽  
pp. 4634 ◽  
Author(s):  
Hai Huang ◽  
Jia Zhu ◽  
Junsheng Mu
Keyword(s):  
False Alarm ◽  
Spectrum Sensing ◽  
Detection Probability ◽  
False Alarm Probability ◽  
Energy Detector ◽  
Accuracy Improvement ◽  
Classical Scheme ◽  
Sensing Performance

Sensing strategy directly influences the sensing accuracy of a spectrum sensing scheme. As a result, the optimization of a sensing strategy appears to be of great significance for accuracy improvement in spectrum sensing. Motivated by this, a novel sensing strategy is proposed in this paper, where an improved tradeoff among detection probability, false-alarm probability and available throughput is obtained based on the energy detector. We provide the optimal sensing performance and exhibit its superiority in theory compared with the classical scheme. Finally, simulations validate the conclusions drawn in this paper.

THE EFFECT OF SMOOTHING ON THE DYNAMICAL BEHAVIOR OF NOISY CHAOTIC SIGNALS

1993 ◽  
Vol 03 (06) ◽  
pp. 1591-1600
Author(s):  
M. F. H. TARROJA ◽  
V. A. SICAM
Keyword(s):  
Phase Space ◽  
Signal Detection ◽  
Additive Noise ◽  
Dynamical Behavior ◽  
Data Sets ◽  
Gaussian Filter ◽  
Return Maps ◽  
Chaotic Signals ◽  
First Return Maps ◽  
Distinguishing Features

A smoothing, which has the effect of a Gaussian filter, has been performed on noisy chaotic digitized laser signals. It is shown that this smoothing can unravel distinguishing features of chaos in the phase space plots and first return maps and hence is useful in unambiguously differentiating chaos from noise. The calculation of the correlation dimensions reveal that the dynamics of the signals are not drastically affected by the smoothing. The type of smoothing discussed in this paper is useful in analyzing chaotic data sets corrupted by additive noise from the signal detection process.

scholarly journals Random-Access Technique for Self-Organization of 5G Millimeter-Wave Cellular Communications

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Jasper Meynard Arana ◽  
Joo Pyo Han ◽  
Yong Soo Cho
Keyword(s):  
Millimeter Wave ◽  
Detection Probability ◽  
Processing Time ◽  
Random Access ◽  
False Alarm Probability ◽  
Cellular Systems ◽  
Correlation Property ◽  
Different Types ◽  
Multiuser Environments ◽  
Access Technique

The random-access (RA) technique is a key procedure in cellular networks and self-organizing networks (SONs), but the overall processing time of this technique in millimeter-wave (mm-wave) cellular systems with directional beams is very long because RA preambles (RAPs) should be transmitted in all directions of Tx and Rx beams. In this paper, two different types of preambles (RAP-1 and RAP-2) are proposed to reduce the processing time in the RA stage. After analyzing the correlation property, false-alarm probability, and detection probability of the proposed RAPs, we perform simulations to show that the RAP-2 is suitable for RA in mm-wave cellular systems with directional beams because of the smaller processing time and high detection probability in multiuser environments.

Biological and Intensive Coagulating Treatment for Waste Water from Coating White Paperboard Mill

2012 ◽  
Vol 518-523 ◽  
pp. 1867-1872
Author(s):  
Kai Tang Hu ◽  
Ming Li
Keyword(s):  
Waste Water ◽  
Biological Treatment ◽  
Biological Process ◽  
Aluminum Silicate ◽  
Total Removal ◽  
Chemical Impurities ◽  
Treated Effluent ◽  
One Step ◽  
Three Stages

A general three stages process to treat the integrated waste water in a laboratory scale, including anaerobic, aerobic and intensive coagulating treatment, was discussed in this paper. After being filtrated and coagulation simply, the effluent was treated with two steps of biological process combined with one step of intensive coagulation process. The result shows that the chemical impurities, including COD, BOD, colored substances and turbidity were removed efficiently,and after anaerobic biological treatment, effluent become easy to be biologically treated, and after aerobic aeration treatment, the BOD of the effluent from the clarifier was lower than 25 mg/l，and the BOD total removal ratio was as high as 90%. The result shows also that when poly aluminum silicate chloride (PASC) combing with APAM was effective to remove the colored substances more than 95%. Being treated for the three stages, the water quality of the treated effluent was higher than that discharge requirements by National Effluent Discharge Standards in China.

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