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A task of time delay estimation for wideband signals in non-Gaussian environment is considered. An approach based on application of robust DFT for obtaining spectrum estimates of sensor signals for observation interval is proposed and shown to perform better than conventional approaches for noise modeled as symmetric α-stable process.
In this paper, we consider precise parameter estimation of multicomponent polynomial-phase signals (mc-PPSs). Two estimation refinement methods are proposed and both are initialized by coarse estimates provided by any technique for the mc-PPS estimation. The first method refines components, one by one, by estimating them once again, now from the received signal with all the components suppressed,...
A task of time delay estimation for wideband signals in non-Gaussian environment is considered. An approach based on robust processing of cross-spectrum estimates for elementary intervals is proposed and shown to perform better than conventional approach for noise modeled as symmetric α-stable process.
This paper reviews recent advances in the parameter estimation of higher-order polynomial-phase signals (PPSs). The maximum likelihood (ML) technique is the most accurate estimation procedure, but requirements for multidimensional search limits its practical application to third-order PPSs. To enable estimation of higher-order PPSs in real time, techniques, based on the phase differentiation (PD),...
We consider fine parameter estimation of polynomial-phase signals (PPSs) using the cubic phase function (CPF). The CPF outperforms the high-order ambiguity function (HAF) both in the estimation accuracy and performance threshold. However, since the CPF cannot be calculated using the FFT, it is characterized by higher complexity than the HAF. The fine estimation is usually done through the time-consuming...
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