DocumentCode :
2335303
Title :
The study of low temperature target weak signal detection technique based on power spectrum
Author :
Xu Yanchun ; Chunling, Yang ; Min, Zhu ; Xu Yanchun ; Xiaodo, Qu
Author_Institution :
Sch. of Electr. Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
1430
Lastpage :
1434
Abstract :
The low temperature target radiation energy has smaller absolute-value and the signal is weaker. Meanwhile there are a lot of the noises such as temperature noise, thermal noise and so on. It is very difficult to be detected precisely if the conventional method is used. In this paper according to autocorrelation and power spectrum being a couple of Fourier transforms theory, power spectrum is used to realize autocorrelation calculation so that low temperature target weak signal is detected. Using the method can get autocorrelation function through calculating the value of power spectrum and the unknown weak signal amplitude is detected. The specific algorithm is given in this paper and the device of low temperature target weak signal detection is designed through embedded system ARM. The experimental waveforms and measurement results all show that the method is feasible to detect low temperature target weak signal. The digital detection of weak photoelectric signal is realized through using power spectrum to calculate autocorrelation.
Keywords :
Fourier transforms; correlation methods; embedded systems; microprocessor chips; object detection; signal detection; thermal noise; ARM; Fourier transform theory; autocorrelation function; embedded system; low temperature target radiation energy; low temperature target weak signal detection technique; power spectrum; temperature noise; thermal noise; weak photoelectric signal; Acoustic noise; Autocorrelation; Background noise; Filtering; Fourier transforms; Magnetic field measurement; Medical signal detection; Narrowband; Signal detection; Temperature; ARM; Fourier transforms; digital correlation; low temperature target detection; power spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138438
Filename :
5138438
Link To Document :
بازگشت