2018
DOI: 10.1016/j.sigpro.2017.06.011
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A new method for parameter estimation of high-order polynomial-phase signals

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Cited by 20 publications
(9 citation statements)
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“…The different orders of motion are represented by dotted lines with different markers. They all coincide with the theoretical results obtained by (14), represented by solid lines. As shown, the integration loss increased with τ and decreased with the order of motion.…”
Section: A Numerical Evaluation Of the Cpm Effectsupporting
confidence: 90%
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“…The different orders of motion are represented by dotted lines with different markers. They all coincide with the theoretical results obtained by (14), represented by solid lines. As shown, the integration loss increased with τ and decreased with the order of motion.…”
Section: A Numerical Evaluation Of the Cpm Effectsupporting
confidence: 90%
“…Therefore, the DFM results obtained for chirp signals can be applied to DSSS signals with only a coefficient amendment. In [9], the results of integration with DFM were modeled as polynomial phase signals [11]- [14]; the optimal and threshold integration times were obtained by simulation and numerical fitting, assuming that the motion components of orders higher than two (acceleration) [15] or three (jerk) [16] could be omitted.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the numerical simulation results confirm the effectiveness of the active vibration control scheme based on online disturbance reconstruction, signal differentiation and differentia flatness for vibration attenuation on vehicle suspension systems. For estimation purposes, it has been fixed r = 4 in (24). Indeed the value of r should be selected according to the particular implementation and signal approximation desired into a small window of time.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Variable weight of the passengers and uncertain parametric variations of the suspension components due to fatigue, wear and natural aging represent other unknown possible perturbations that could result in a dynamic performance degradation [21]. Consequently, important estimation techniques of system parameters have been introduced in the literature [22][23][24]. An identification method of boundary forces in beam-like structures using a derivative estimator has been introduced in [25].…”
Section: Introductionmentioning
confidence: 99%
“…Suppose a P th order PPSsfalse(tfalse)=a0expfalse(normaljϕfalse(tfalse)false)=a0exp)(normalji=0Paiti where a i is the coefficients. Then the NU resampling of the PPS yields [33]scriptNfalse[sfalse(tfalse)false]=a02exp)(normaljl=0|P/2|normald2lϕ(t)dt2l2τ1lfalse(2lfalse)! where ⌋⌊ denotes the rounding down operation. Also, change (6) to the discrete form τ1=cm,scriptNfalse[sfalse(tfalse)false]=a02exp)(normaljl=0|P/2|normald2lϕ(t)dt2l2false(cmfalse)lfalse(2lfalse)! where c is the scale factor, which controls the density of the NU resampling.…”
Section: Principle Of the Proposed Nusp–sltcimentioning
confidence: 99%