Evaluation of distortion in f.m. trunk radio systems by a Monte Carlo method

Medhurst, R.G.; Roberts, J. H.

doi:10.1049/piee.1966.0094

Cited by 9 publications

(7 citation statements)

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“…The use of surface wave delay lines for correlating biphase modulated codes at rates up to 5 Mbit/s has recently been described 111, [ 2 ] . Here we wish to report not only the correlation of a 31-bit maximal length bi-phase modulated sequence at 10 Mbit/s but also the use of surface waves to encode or generate such a sequence [3], [4]. As shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

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A note on necessary bandwidth in FM systems

Anuff¹,

Liou²

1971

Proc. IEEE

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This section is intended primarily for rapid dissemination of brief reports on new research results in technical areas of interest to IEEE members. Contributions are reviewed immediately, and acceptance is determined by timeliness and importance of the subject, and brevity and clarityof the presentation. Research letters must contain a clear concise statement of the problem studied, identifv new results, and make evident their utility, importance, or relevance to electrical engineering. Key to related literature must be given. Contributions shouldbe submitted in triplicateAbstract-A digital computer simulation has been used in an effort to define the RF bandwidth needed for good transmission in F M systems in terms of given amounts of interchannel distortion. The computed results have been converted into a relationship that is similar to Carson's rule but perhaps more meaningful.

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Section: Discussionmentioning

confidence: 99%

“…Each point is the average of 10 Monte Carlo trials. Thus the 90 percent confidence interval is approximately 2.5 dB [4]. Equation (1) can be thought to be a meaningful extension of Carson's rule ifthe following are considered.…”

Section: C€m"pation Of Djstortion Due To Band-llwtingmentioning

confidence: 99%

A note on necessary bandwidth in FM systems

Anuff¹,

Liou²

1971

Proc. IEEE

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“…) . If the number N of tones simulating the random modulation is large enough, the statistical properties of (2) approach those of Gaussian noise [5]. at the filter output has been derived using the Fourier method [5] by processing the spectral components of v i t ( ) at the frequencies c ± n a by the transfer function of the bandpass filter.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

“…Both the noise-free and the noise performance measures of the PLL FM demodulator are evaluated using the Monte Carlo simulation. The modulating baseband Gaussian signal is simulated by a sum of N sine waves of equally spaced frequencies and random phases [5], [6]. The FM signal filtered by the bandpass filter is derived using the (within the limits of computational accuracy) exact Fourier method [5].…”

Section: Introductionmentioning

confidence: 99%

“…The modulating baseband Gaussian signal is simulated by a sum of N sine waves of equally spaced frequencies and random phases [5], [6]. The FM signal filtered by the bandpass filter is derived using the (within the limits of computational accuracy) exact Fourier method [5]. The colored additive Gaussian noise components are simulated by filtering pseudorandom sequences in the frequency domain by the lowpass equivalent of the bandpass filter.…”

Section: Introductionmentioning

confidence: 99%

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PLL FM demodulator performance under Gaussian modulation

Hasan

1998

IEEE Trans. Commun.

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A widespread test of the PLL FM demodulator under Gaussian modulation is simulated using the Monte Carlo method. Unified noise-free and noise performance analyses of the PLL FM demodulator are presented. Substantial reduction of the modulation limit by the input bandpass filter is reported in the region of the input bandwidth of practical interest. Bessel bandpass filters of order greater than two are shown to compare favorably with Butterworth filters in front of the PLL FM demodulator relative to the IM distortion. A lower bound on the loop noise bandwidth is found by minimizing the output click rate for given IM distortion specifications. FM threshold of 4 dB and 7 dB for the rms frequency deviation-to-message bandwidth ratio 0.1 and 1.0, respectively, is reported on the worst-case IM distortion of 45 dB.

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Computation of FM Distortion in Linear Networks for Bandlimited Periodic Signals

Ruthroff¹

1968

Bell System Technical Journal

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Computations of the distortion generated in passing large‐index, frequency‐modulated signals through symmetrical single‐pole and three‐pole bandpass filters are presented. The computation is for a bandlimited periodic modulation signal; noise modulation is simulated by the use of periodic noise samples in a Monte Carlo procedure. The convergence of the Monte Carlo procedure is illustrated for the case of the single‐pole filter and the results are in good agreement with measurements. Computations of envelope distortion are also presented. These data give the amplitude‐to‐phase conversion in the receiver containing the filter to within a constant factor, the constant being the AM/PM conversion coefficient of the limiter.

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Evaluation of distortion in f.m. trunk radio systems by a Monte Carlo method

Cited by 9 publications

References 1 publication

A note on necessary bandwidth in FM systems

A note on necessary bandwidth in FM systems

PLL FM demodulator performance under Gaussian modulation

Computation of FM Distortion in Linear Networks for Bandlimited Periodic Signals

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