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2017 | OriginalPaper | Buchkapitel

5. Detection of Known Signals in Noise

verfasst von : Gordon L. Stüber

Erschienen in: Principles of Mobile Communication

Verlag: Springer International Publishing

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Abstract

This chapter considers the bit error rate performance of digital signaling on frequency non-selective (flat) fading channels with additive white Gaussian noise AWGN. A vector representation is first introduced for digital signaling on flat fading channels with additive white Gaussian noise (AWGN). Afterwards, a generalized analysis is provided for the error rate performance of digital signaling on flat fading channels. The structure of the optimum coherent receiver is then derived for the detection of known signals in AWGN. The error probability performance of various coherently detected digital signaling schemes is considered, including phase shift keying, quadrature amplitude shift keying, orthogonal signals, and orthogonal frequency division multiplexing. Other types of detection schemes are treated, including differential detection of differentially encoded binary phase shift keying and differentially encoded π∕4-phase shifted quadrature phase shift keying. Also considered is the non-coherent detection of orthogonal signals. Finally, the chapter wraps up with a treatment of coherent and non-coherent detection of continuous phase modulated signals.

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Fußnoten
1
Since the \(\tilde{n}_{k}\) have zero mean, their covariances \(\lambda _{\tilde{n}_{j}\tilde{n}_{k}}\) are equal to their autocorrelations \(\phi _{\tilde{n}_{j}\tilde{n}_{k}}\). The factor of 1/2 in the definition of the covariance function maintains the conventional usage of N o as representing the power density spectrum of the low-pass noise process \(\tilde{n}(t)\).
 
2
Since the vector \(\hat{\mathbf{n}}\) has zero mean, its covariance matrix \(\boldsymbol{\Lambda }_{\hat{\mathbf{n}}\hat{\mathbf{n}}}\) is equal to its autocorrelation matrix \(\boldsymbol{\Phi }_{\hat{\mathbf{n}}\hat{\mathbf{n}}}\).
 
3
When the signal vectors lie in a 1-D complex vector space, the notation is simplified by using the scalars \(\tilde{s}_{i}\), \(\tilde{n}\), \(\tilde{r}\) rather than the vectors \(\tilde{\mathbf{s}}_{i}\), \(\tilde{\mathbf{n}}\), and \(\tilde{\mathbf{r}}\).
 
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Metadaten
Titel
Detection of Known Signals in Noise
verfasst von
Gordon L. Stüber
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-55615-4_5

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