Title :
A Simple Neural Cross-Correlation Engine
Author :
Tapson, J. ; Etienne-Cummings, R.
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Rondebosch
Abstract :
The paper presents an electronic circuit that produces a cross-correlation function for pairs of input signals, without explicitly performing a mathematical algorithm. The circuit uses noisy integrate-and-fire neurons to produce autocorrelation information. Cross-correlation terms are generated by summing a reference signal with the incoming unknown signal. The authors show that the system is capable of extracting the cross-correlation components, and therefore the range information, in the pseudorandom gold codes used to provide ranging signals in the global positioning system (GPS). The circuit is constructed using low power discrete analog electronics, and hence offers the potential for a reduction in GPS receiver power consumption.
Keywords :
Global Positioning System; correlation methods; receivers; GPS receiver; autocorrelation information; cross-correlation function; electronic circuit; global positioning system; low power discrete analog electronics; power consumption; pseudorandom gold codes; simple neural cross-correlation engine; Autocorrelation; Circuit noise; Data mining; Electronic circuits; Energy consumption; Engines; Global Positioning System; Gold; Neurons; Signal generators;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378406