Title :
Error performance analysis of an energy sequence estimation receiver for binary FSK on frequency-selective fading channels
Author :
Iwanami, Yasunori ; Wittke, Paul H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nagoya Inst. of Technol., Japan
fDate :
3/1/2003 12:00:00 AM
Abstract :
Energy detection of frequency-shift keying (FSK) signals is the optimum noncoherent detection technique yielding a minimum bit-error rate (BER) on the additive white Gaussian noise channel. It is usually used when carrier phase estimation is difficult. When FSK signals are passed through a frequency-selective multipath fading channel, the multipath delay in the channel results in a multitone waveform being received during each signaling interval. An effective practical sequence estimation receiver for this situation is proposed. It makes use of energy detectors followed by a Viterbi (1979) or sequence estimator that uses an energy difference metric. Statistical properties of the detection variable are derived. Analytical upper and lower bounds on the BER are derived and the results compared with computer simulations to show the effectiveness of the technique.
Keywords :
AWGN channels; delays; error statistics; fading channels; frequency shift keying; maximum likelihood estimation; multipath channels; multiuser detection; phase estimation; radio receivers; sequential estimation; AWGN channel; BER; FSK signals; Viterbi estimator; additive white Gaussian noise channel; binary FSK; bit-error rate; carrier phase estimation; computer simulations; energy detection; energy difference metric; energy sequence estimation receiver; error performance analysis; frequency-selective multipath fading channel; frequency-shift keying signals; lower bounds; multipath delay; multitone waveform; optimum noncoherent detection; sequence estimator; signaling interval; statistical properties; upper bounds; Additive white noise; Bit error rate; Detectors; Frequency estimation; Frequency shift keying; Frequency-selective fading channels; Performance analysis; Phase estimation; Propagation delay; Viterbi algorithm;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2003.808964