MMF Analysis of Polyphase sequences for EMI suppression using Cyclic Algorithm-Pruned
| Autor: | P. Preetham Raj, P. Rajesh Kumar, Rajasekhar Manda |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020206 networking & telecommunications
02 engineering and technology Interference (wave propagation) Radio spectrum Frequency allocation law.invention Reduction (complexity) EMI law Golomb coding 0202 electrical engineering electronic engineering information engineering Polyphase system Radar Algorithm Mathematics |
| Zdroj: | 2018 15th International Conference on ElectroMagnetic Interference & Compatibility (INCEMIC). |
| DOI: | 10.1109/incemic.2018.8704553 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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