Title :
Enhanced SNR estimates from direct-sequence spread-spectrum demodulator statistics
Author :
Boyd, Steven W. ; Pursley, Michael B.
Author_Institution :
Holcombe Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC
fDate :
5/1/2009 12:00:00 AM
Abstract :
Demodulator statistics are used in a binary direct-sequence spread-spectrum receiver to improve the performance of a well-known signal-to-noise ratio (SNR) estimate for ratios of the binary symbol energy to one-sided noise density that are below approximately 7 dB. The new estimate requires no pilot symbols, training sequences, data symbol decisions, or channel measurements, and it can be obtained prior to decoding.
Keywords :
demodulators; spread spectrum communication; statistical analysis; binary symbol energy; decoding; direct sequence spread spectrum demodulator statistics; direct sequence spread spectrum receiver; enhanced SNR estimates; noise density; signal-to-noise ratio; Decoding; Demodulation; Estimation error; Impedance matching; Laboratories; Packet radio networks; Protocols; Signal to noise ratio; Spread spectrum communication; Statistics; SNR estimate, direct-sequence spread spectrum.;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.090171
