DocumentCode :
1654517
Title :
BER analysis of self-heterodyne OFDM transmission scheme
Author :
Pacheco, Ryan A. ; Hatzinakos, Dimitrios
Author_Institution :
Dept. of Elec. & Comp. Eng., Univ. of Toronto, Ont., Canada
Volume :
4
fYear :
2004
Firstpage :
1953
Abstract :
A self heterodyne system is power inefficient compared to a conventional coherent system, but it has the advantage that simple, low-cost, receivers can be built that are completely immune to any phase noise or frequency offset contributed by the transmitter´s RF carrier. This is of particular importance to multicarrier schemes, such as OFDM, that are much more sensitive to frequency and phase errors then single-carrier schemes. The paper analyzes the performance of self-heterodyne receivers, assuming OFDM is the modulation scheme. We start by deriving the autocorrelation function and power spectral density (PSD) at the output of a square-law device, assuming the phase noise is modeled as a Wiener-Levy process. From this we characterize the BER performance and compare it with simulation of 4,16, and 64-QAM OFDM schemes. Previous statistical analysis of this receiver type has ignored the stochastic nature of the RF phase noise and has neglected to consider the effects of IF instabilities on BER performance.
Keywords :
OFDM modulation; correlation methods; error statistics; phase noise; quadrature amplitude modulation; radio receivers; signal detection; statistical analysis; stochastic processes; BER analysis; QAM; Wiener-Levy process; autocorrelation function; frequency offset; multicarrier schemes; phase noise; power spectral density; self-heterodyne OFDM transmission scheme; self-heterodyne receivers; square-law detection; statistical analysis; Autocorrelation; Bandwidth; Bit error rate; Digital video broadcasting; OFDM modulation; Performance analysis; Phase noise; Radio frequency; Statistical analysis; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-8253-6
Type :
conf
DOI :
10.1109/CCECE.2004.1347599
Filename :
1347599
Link To Document :
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