Phase differential block demodulation of hardlimited MSK signals

Mehlan, R.; Meyr, H.

doi:10.1109/glocom.1994.512811

Cited by 5 publications

(2 citation statements)

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“…The probability density function (PDF) of the phase noise is approximated by [9], where is the signal-to-noise ratio (SNR). Although was used in [9], is employed in this paper, since it is more accurate to represent actual SNR including signal distortion due to IF filtering. Noise samples that are spaced one symbol apart, and may be assumed uncorrelated because the IF filter bandwidth time product is one.…”

Section: Ber Analysis Of Zifzcd With Dfpmentioning

confidence: 99%

“…and can be calculated using (21)-(26) in [6] for all data patterns. The conditional probability in (14) can be calculated as 15where is the Gaussian PDF of the differential phase with variance [9]. By using (14), (15), and the click probability equations, the BER of the ZIFZCD with the DFP, including click noise, can be computed for AWGN channels.…”

Section: Ber Analysis Of Zifzcd With Dfpmentioning

confidence: 99%

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Decision feedback postprocessor for zero-crossing digital FM demodulator

Lee

Hou²,

Kwon

1999

IEEE Trans. Veh. Technol.

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A baseband digital narrow-band FM receiver, called zero-intermediate frequency zero-crossing demodulator (ZIFZCD), has been recently developed. This demodulator may offer low complexity and simple implementation. However, the bit error rate (BER) performance of the ZIFZCD is inferior to that of the limiter-discriminator-integrate-and-dump (LDI) demodulator. In this paper, a simple decision feedback postprocessor (DFP) is proposed to improve the performance of the ZIFZCD. Analysis and simulation BER results of the ZIFZCD with the DFP are presented for minimum-shift keying (MSK) and Gaussian MSK (GMSK) signals under additive white Gaussian noise (AWGN) and mobile fading environments.

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Section: Ber Analysis Of Zifzcd With Dfpmentioning

confidence: 99%

Section: Ber Analysis Of Zifzcd With Dfpmentioning

confidence: 99%