MMF Analysis of Polyphase sequences for EMI suppression using Cyclic Algorithm-Pruned

Most of the RADAR and Telecommunication system are affected by EMI. In the past, frequency allocation to different frequency bands can minimize the EMI and narrow bandwidth usage. EMI reduction requires other means than frequency allocation possibly non-interfering coded waveforms or sequences such...

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Bibliographic Details
Published in2018 15th International Conference on ElectroMagnetic Interference & Compatibility (INCEMIC) pp. 1 - 4
Main Authors Manda, Rajasekhar, Raj, P. Preetham, Kumar, P. Rajesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
CAP Algorithm
Correlation
Correlation Level
Electromagnetic interference
EMI
Gold
Merit Factor
Modifted Merit Factor
Polyphase sequences
Radar
Radio spectrum management
Receivers
Weighted Integrated sidelobe level
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Summary:Most of the RADAR and Telecommunication system are affected by EMI. In the past, frequency allocation to different frequency bands can minimize the EMI and narrow bandwidth usage. EMI reduction requires other means than frequency allocation possibly non-interfering coded waveforms or sequences such as PI, P2, P3, P4, Px, Golomb, Frank, and the Chu known as Polyphase sequences. The commonly used waveforms in RADAR are frequency phase and amplitude. In this paper, the Modified Merit Factor (MMF) and minimum correlation level are used as the parameters to analyze the EMI reduction in RADAR. Weighted Integrated sidelobe level (WISL) metric can reduce the correlation level for a region of interest. Out of Cyclic Algorithm pruned obtained Polyphase sequences CAP (Chu), CAP (Px) and CAP (Golomb) exhibit the minimum correlation level as -81.77dB, 132. 77dB and 155. 15dB for Lengths 10^{2}, 10^{3} and 10^{4} respectively. These sequences are more immune to interference. All the results are implemented on MATLAB.
ISSN:2573-3303
DOI:10.1109/INCEMIC.2018.8704553