A New Algorithm to Compensate Ionosphere Phase Contamination

Abstract:

The echo signals of sky-wave over-the-horizon radar involve ionospheric phase contamination with spectrum expansion. The bragg peaks expand and cover the frequency spectrum of low speed target. So ionospheric phase decontamination is necessary before coherent integration. The traditional Hankel Rank Reduction (HRR) phase decontamination method constructs the Hankel matrix by folding the echo signal, estimating instantaneous frequency through singular value decomposition. But HRR method requires the prior information of signal components. The estimation is invalid without priori information. The algorithm presented in this paper does not require the priori information. The algorithm based on matched fourier transform can accurately estimate the phase contamination function for the clutter noise ratio is high. Simulation shows that the proposed algorithm has better performance in phase decontamination.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4551-4554
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4551
• Online since: September 2014
• Authors: Hui Ai*, Jin Feng Hu, Wan Ge Li, Zhi Rong Lin, Ya Xuan Zhang
• Keywords: Matched Fourier Transform, OTHR, Phase Deontamination

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