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Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels

Citation Author(s):
Shailesh Chaudhari, Danijela Cabric
Submitted by:
Shailesh Chaudhari
Last updated:
12 November 2017 - 6:14pm
Document Type:
Poster
Document Year:
2017
Event:
Presenters Name:
Shailesh Chaudhari
Paper Code:
1460

Abstract 

Abstract: 

In this paper, we address the problem of identifying the modulation level of the received signal under an unknown
frequency selective channel. The modulation level classification is performed using reduced-complexity Kuiper (rcK) test which
utilizes the distribution of signal features such as magnitude of the received samples or phase difference in consecutive
received samples. However, in frequency selective channels, these features are severely distorted resulting in a poor classification performance. We propose to use constant modulus algorithm (CMA) to mitigate the impact of the frequency selective channel on the signal feature. Simulation and analytical results show that the proposed CMA-rcK technique outperforms state-of-the-art cumulant-based technique as well as blind equalizer-based technique that uses Alphabet Matched Algorithm.

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Dataset Files

Shailesh_Poster_GlobalSIP_2017_landscape_v1.pdf

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