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Emergency communications in the adaptive threshold signal detection method


y = 1, A = 1 / 1000, △ V = 0.1, SNR = 0dB, the algorithm detection probability 0.99908; when-y = 0.5, A = 1 / 1000, △ V = 0. 05, SNR = 0dB, the probability of detection was 0.54149. From the above simulation results, the channel frequency offset as long as not too large (such as data rate of less than 1 / 1001, its impact on the performance of the algorithm can be ignored, that is, improved algorithm for frequency offset tolerance is greater when the channel gain reduction, the operator sNRfdB) a 1 = 1, A: 1 / 1000, △ l, = 0.05 ... 1 = 1, A = 1/i00, △ V = 005 +1 = 1, A = 1 / 1000 , △ l = 0 ... 1 = 1. A: 1 / 1000, △ V = 01 (a) false alarm probability and signal to noise ratio curve sNRfdB) a 1 = 1, A = 1 / 1000, △ V = 005 ... 1 = 1, A = 1/i00, △ l: 0.05 +1 = 1, A = 1 / 1000, △ V = 0 ... '= 1, A = 1 / 1000, △ V = 01-e1 = 0.5, A = 1 / 1000, △ l = 0.05 (b) detection probability with SNR curve in Figure 5 to improve the algorithm performance curve the probability of false alarm and detection also will be reduced,abercrombie france, which is due to reduced noise and signal strength led to lower,franklin marshall femme, making algorithms related to the overall value of the square of the envelope decreases. When the adaptive threshold in a fixed amount of △ increases, false alarm and probability of detection algorithm is also significantly reduced. 4 Conclusion This paper studies the division of emergency communications in the adaptive threshold signal detection problem, using the known transmitted signal to guide code for signal detection. Wei adaptive threshold signal detection, signal power before and after the use of relevant than building adaptive detection algorithm, for real applications, there are not high accuracy of signal detection of the phenomenon, adding Huadong detection window, improving the detection probability. Simulations show that the design can achieve a good signal of the adaptive threshold detection. References 11 Xue Wei, Jing-Cheng, Zhou governance. One kind of PN code acquisition threshold adaptive estimation. Journal of Electronics, 2003,31 (12) :1870-1873.21 Zhang Yingguang,abercrombie fitch paris, Gui-Sheng Liao,abercrombie pas cher, Zhang to. Of a novel constant false alarm probability of PN code acquisition method adaptive blind. Xidian University (Natural Science Edition), 2004,31 (6) :855-859 .3 lJohnTerryandJuhaHeiskala. OFDMwirelessLANs: Atheoreticalandpracticalguide. Indianapolis, Ind. : SamsPublishing. 2002:32-43.4 lBrigantEandMammelaA. Adaptivethresholdcontrolschemeforpacketacquisition . IEEETrans. OnCommun. 1998,46 (12) :1580-1582 .5] ChoiKwonhue, CheunKyungwhoon, andJungTaejin. AdaptivePNcodeacquisitionusinginstantaneouspower-scaleddetectionthresholdunderrayleighfadingandpuls edgaussiannoisejamming. IEEETrans. OnCommun. , 2002,50 (8) :1232-1235 .6] WuYucheng, XuTalhuo, andFengMo. FramesynchronizationinturbodecoderbasedonDMF. ProceedingsoftheIEEE6thCircuitsandSystemsSymposium onEmergingTechnologies, Shanghai, China, May2004, Vo1.2 :401-404. Wu Yucheng: Ning: Gao Shan: Male, born in 1971, postdoctoral, research associate, primarily engaged in the communications signal processing, software radio technology research. Male, born in 1978, Master's, in the communications signal processing research. Female, 1982 students, graduate students, engaged in the communications signal processing research.
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