Paper
28 April 2010 Wideband signal detection using a Nyquist folding analog-to-information receiver in multipath fading environment
Olusegun Odejide, Annamalai Annamalai, Cajetan Akujuobi
Author Affiliations +
Abstract
The need to efficiently and effectively monitor the frequency spectrum for identification of unoccupied bands is essential in communication systems such as Cognitive Radio (CR), battlefield communications, etc. The Nyquist Folding Analog-to-Information Receiver (NYFR) which is based on the theory of Compressed Sensing has been proposed recently to address this problem in a sparse environment. Although, typical CS techniques, involve random projections followed by a computationally intensive signal reconstruction process, the methods used in NYFR does not requires the laborious l1 minimization algorithm. The NYFR performs analog compression via a non-uniform sampling process that induces a chirp-like modulation on each received signal. Signal parameters can simply be determined by using timefrequency analysis techniques without full signal reconstruction. This paper revisits the detection problem of using NYFR for information recovery for appropriate frequency detection when the original signal in the presence of both the additive white Gaussian noise and Rice multipath fading. An automatic detection algorithm was also developed to determine the detected frequency parameters without looking at the FFT spectrogram plot.
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Olusegun Odejide, Annamalai Annamalai, and Cajetan Akujuobi "Wideband signal detection using a Nyquist folding analog-to-information receiver in multipath fading environment", Proc. SPIE 7707, Defense Transformation and Net-Centric Systems 2010, 770707 (28 April 2010); https://doi.org/10.1117/12.853621
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KEYWORDS
Signal detection

Modulation

Signal processing

Receivers

Signal to noise ratio

Clocks

Compressed sensing

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