Interpolation-and-decimation-based dimensionality reduction applied to space-time processing
| Autor: | Aline de Oliveira, Raimundo Sampaio-Neto, Fabian David Backx, José Mauro P. Fortes |
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| Rok vydání: | 2016 |
| Předmět: |
Decimation
Dimensionality reduction Speech recognition Wiener filter 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Filter (signal processing) Reduction (complexity) Sample matrix inversion symbols.namesake Signal-to-noise ratio 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering symbols Algorithm Mathematics Interpolation |
| Zdroj: | SAM |
| Popis: | In this paper, we specialize a novel stage of dimensionality reduction, based on a joint interpolation and decimation scheme (JIDS), proposed in [1] and [2], for airborne phased-array radars. The JIDS design approach consists of a very elegant and effective way to obtain the joint interpolation filter and decimation pattern, taking advantage of the correlation generated by the interpolation filter in order to eliminate samples and still achieve low signal to interference and noise ratio (SINR) loss. We compare its results in terms of probability of detection and Doppler performance with the full rank Minimum Variance Distortionless Response sample matrix inversion (MVDR-SMI) space-time filter and other rank reduction techniques such as Principal Components (PC), Cross-Spectral Metric (CSM) and Multistage Wiener Filter (MWF). Simulation results show that the proposed approach has an impressive ability to significantly reduce the length of the space-time snapshots and achieves very good performance in Doppler SINR loss and probability of detection, especially in sample starving scenarios. |
| Databáze: | OpenAIRE |
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