Title :
Spreading Sequence-Based Non-coherent Sensor Fusion and its Resulting Large Deviation Exponents
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
To address the coordination issue of sensors communicating with a fusion center, we propose a spreading sequence based non-coherent detection scheme for sensor networks to reduce the coordination between sensors to the largest extent. In this scheme, sensors employ independent spreading sequences to transmit their measurements. Non-coherent detection is conducted at the fusion center where only statistics regarding channel gains and sensor measurement uncertainties are needed. To evaluate the detector´s performance, we first derive the large deviation exponents of detection error probabilities and then compare them with the approaches assuming orthogonal channel allocation (e.g. TDMA/FDMA). Numerical and simulation results demonstrate the dependence of large deviation exponent on the asymptotic number of sensors per chip (defined as c), as well as the better performance of our proposed scheme than the one using non-coherent detection with orthogonal link, for some c.
Keywords :
channel allocation; error statistics; sensor fusion; wireless sensor networks; channel gains; detection error probabilities; non-coherent detection; non-coherent sensor fusion; orthogonal channel allocation; sensor networks; spreading sequence; Channel allocation; Error probability; Frequency division multiaccess; Measurement uncertainty; Numerical simulation; Performance analysis; Radar; Sensor fusion; Sensor systems; Statistics; Large Deviation Exponents; Non-coherent Detection; Spreading Sequence;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366501