A Primary Signal Detection Technique using Sub-band Pulses of a Multi-band Pulse

2013 ◽  
Vol 133 (6) ◽  
pp. 1145-1152
Author(s):  
Kohei Ohno ◽  
Makoto Itami ◽  
Tetsushi Ikegami
2013 ◽  
Vol 347-350 ◽  
pp. 3527-3531
Author(s):  
Xiao Hong Wang ◽  
Feng Ming Li

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.


1981 ◽  
Vol 52 (2) ◽  
pp. 433-434 ◽  
Author(s):  
Gary W. Guyot ◽  
Floyd D. Johnson ◽  
Collin Weaver

This investigation determined if subthreshold two-point aesthesiometer separations could be discriminated from one-point on the dorsal forearm. A fixed-based matching signal-detection technique was employed. The results indicated that subjects can reliably discriminate two-point separations as small as 2 mm when compared to one point.


2012 ◽  
Vol 198-199 ◽  
pp. 1768-1773
Author(s):  
Jiang Yan Sun

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.


2017 ◽  
Vol 46 (9) ◽  
pp. 913002
Author(s):  
林栩凌 Lin Xuling ◽  
邬志强 Wu Zhiqiang ◽  
杨 颂 Yang Song ◽  
张 智 Zhang Zhi ◽  
毕思文 Bi Siwen ◽  
...  

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