On-line wavelet filtering of narrowband noise in signal detection of spread spectrum system for location tracking

2011 ◽  
Vol 25 (5) ◽  
pp. 598-615 ◽  
Author(s):  
G. Y. Luo
Keyword(s):  
Signal Detection ◽  
Spread Spectrum ◽  
Location Tracking ◽  
Wavelet Filtering ◽  
On Line ◽  
Narrowband Noise

scholarly journals States Correction by On-line Parameter Estimation and Fault Signal Detection Strategy Based on Minitram-gyro-sensor

2017 ◽  
Vol 25 (5) ◽  
pp. 607-615
Author(s):  
Jin Han Jeong ◽  
Baek Hyun Kim ◽  
Rag Gyo Jeong ◽  
Yeun-Sub Byun ◽  
Jahng Hyon Park
Keyword(s):  
Parameter Estimation ◽  
Signal Detection ◽  
Gyro Sensor ◽  
Detection Strategy ◽  
Line Parameter ◽  
On Line

The Problems in Signal Detection of Multi-Band Spread Spectrum

2012 ◽  
Vol 198-199 ◽  
pp. 1768-1773
Author(s):  
Jiang Yan Sun
Keyword(s):  
Signal Detection ◽  
Basic Principle ◽  
Spread Spectrum ◽  
Gaussian White Noise ◽  
Direct Sequence Spread Spectrum ◽  
System Model ◽  
Direct Sequence ◽  
Rs Code ◽  
Symbol Detection ◽  
Multi Band

Compared with the traditional direct sequence spread spectrum technology，Multi-band Spread Spectrum have great advantages. According to the basic principle of Multi-band Spread Spectrum, this paper Established the Multi-band Spread Spectrum system model, discusses the signal detection problems in terms of multi-band spread spectrum. Based on the results, it obtained the ruling methods of Gaussian white noise channel under multiple symbols detection and binary bits detection and likelihood ratio information theoretical expressions. And it finds that the two tests have the same mistake-symbol performance through the simulation. The experimental results show that multiple symbol detection and RS code used in conjunction with will achieve better performance.

Spread Spectrum Time Domain Reflectrometry Applied to Electrical Systems in Nuclear Power Plants

2010 ◽  
Author(s):  
Gary M. Sandquist ◽  
Carl J. Sandquist
Keyword(s):  
Time Domain ◽  
Integrated Circuit ◽  
Spread Spectrum ◽  
Power Plants ◽  
Short Circuit ◽  
Time Domain Reflectometry ◽  
Nuclear Plant ◽  
Current Time ◽  
Electrical Systems ◽  
On Line

A recently developed technique “Spread Spectrum Time Domain Reflectometry” (SSTDR), and supporting test devices will be adapted and tested to monitor and diagnose nuclear plant electrical systems. Current time domain reflectometry methods cannot detect or locate small faults after arc fault events, because their impedance discontinuity is too small and transient to create a measurable reflection. However, on-line, unobtrusive SSTDR can detect and locate arc and other electrical faults when the (∼msec) short circuit returns a strong reflected signal. These observations have led to development of SSTDR. If SSTDR can be successfully adapted to present and future nuclear plant electrical systems, it will be possible to monitor, on-line, the integrity of the electrical system continuously and with only minor equipment modification and no consequential safety issues. An integrated circuit (IC) is under development at the University of Utah for applications in the aircraft industry that will be adapted and used for this proposed development.

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