Journal ArticleDOI
Intermittent Clutter Suppression Method Based on Adaptive Harmonic Wavelet Transform for L-Band Radar Wind Profiler
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TLDR
An adaptive complex harmonic discrete wavelet transform with an advanced statistical method is implemented to overcome the shortcomings of the classical wavelet method and effectively eliminates the bird contamination even where the classical method fails.Abstract:
Boundary layer radar (L-band) wind profilers frequently encounter a significant problem arising from the contamination of intermittent clutter, produced by seasonal and nocturnal migrating birds, which often yields erroneous wind velocity and boundary layer information. Classical harmonic wavelet transforms (HWTs) are inadequate in removing the transient clutter contamination under certain conditions, particularly when the clutter is significant. We implemented an adaptive complex harmonic discrete wavelet transform with an advanced statistical method to overcome the shortcomings of the classical wavelet method. This algorithm effectively eliminates the bird contamination even where the classical method fails. Finally, a multiple peak-picking (MPP) algorithm was added to select true atmospheric signals and estimate accurate moments. The obtained wind velocity measurements were compared with those derived using the conventional method and validated with global positioning system radiosonde winds. The comparison shows that the proposed method is more effective than the conventional one.read more
Citations
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TL;DR: In this article , the robust shrinkage Kronecker estimator (RSKE) was proposed to solve the critical problem of tuning the shrinkage factors by exploiting oracle approximating shrinkage (OAS) and cross-validation (CV).
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Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment
TL;DR: In this article , a machine learning algorithm known as random forest (RF) was used to estimate the wind speed at hub heights such as at roughly 120, 160, and 200 m.
Journal ArticleDOI
Wind Profile Tracking in MST Radar Using Viterbi Data Association
Akankshya Bhatta,Rajarshi Biswas,Sibi Raj B. Pillai,Tummalapalli Venkata Chandrasekhar Sarma +3 more
TL;DR: An algorithm to estimate the atmospheric wind profile using a dynamic programming approach employing the Viterbi data association (VDA) algorithm is proposed and shows that the suggested method has improved performance when compared to previously established techniques.
Journal ArticleDOI
Analysing digital predistortion technique for computation-efficient power amplifier linearisation in the presence of measurement noise
TL;DR: The accuracy and implementation issues of DPD on a low-cost transceiver having lower bit resolution in the presence of transceiver noise is presented and the suitability of the various polynomial models for fixed-point implementation and the required memory size for implementing the DPD model is established.
Journal ArticleDOI
Power Amplifier Linearization in the Presence of Crosstalk and Measurement Noise in MIMO System
TL;DR: In this paper , a wavelet multiscale principal component analysis (PCA) based technique is proposed to deal with the problems of crosstalk, transceiver noise, and system nonlinearities.
References
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