Peng Liu, Nemanja Stefan Perovic, Andreas Springer,
"BER Performance of Local Average Gain Combining with BPSK in Rayleigh Fading Channels"
: 2014 IEEE 80th Vehicular Technology Conference, Seite(n) 1-4, 9-2014
Original Titel:
BER Performance of Local Average Gain Combining with BPSK in Rayleigh Fading Channels
Sprache des Titels:
Englisch
Original Buchtitel:
2014 IEEE 80th Vehicular Technology Conference
Original Kurzfassung:
We propose a novel diversity combining method
called local average gain combining (LAGC) that is based on
the local average of channel gains. Compared with MRC, which
requires the instantaneous complex channel coefficients, and
EGC, which requires only the instantaneous channel phases,
LAGC requires the instantaneous channel phases but the lo-
cal average of the channel gains, implying an implementation
complexity between those of MRC and EGC. The average bit
error probability (ABEP) of LAGC is analyzed and derived in
closed-form using a method that is based on the characteristic
function (cf) and the Paserval?s theorem, showing that LAGC
approximates to MRC in slow fading and to EGC in balanced
fast fading. Simulations are performed to validate the analysis.
The channel phase estimation error is included in the simulation,
and it turns out that LAGC and EGC significantly outperform
MRC and SC. This is a distinct advantage of LAGC because in
fast fading it is more difficult to track the channel coefficients
and on average the channel phase error is larger.
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