It is well known that the application of radar is becoming more and more popular with the
development of the signal technology progress. This paper lists the current radar signal …

An improved moments estimation algorithm used in a newly developed K-band wind profiler
to obtain accurate 3-D profiles of wind velocity along the altitude is described. The signal-to …

Abstract Principal Component Analysis (PCA) is a simple non-parametric method for
extracting relevant information from high-dimensional data sets. In this paper, we analyze …

Power spectrum is the considerable aspect in the atmospheric radar data processing to
estimate wind parameters. Due to the poor resolution and high sidelobe level problems of …

The Indian Mesosphere-Stratosphere-Troposphere (MST) radar, located at Gadanki, Andhra
Pradesh, serves the purpose of providing data regarding atmospheric movements. In order …

In modern information warfare, radar must apply some anti-jamming technologies. Digital
radio frequency memory (DRFM) and its technology can adapt to the complex threat signal …

Generally, radar echo is analysed in the assumptions that echo comes from stationary
processes. Signal processing algorithms of atmospheric radar echoes are based on …

Subspace methods founded on Eigen-value decomposition have been utilized to retrieve
relevant data from extensive datasets. This work suggests the least variance spectral …

This paper proposes the notion of developing new algorithm for denoising of atmospheric
radar signal based on Multi-band wavelet transform. The development of this method is a …

When processing atmospheric radar data to estimate wind parameters, power spectrum is a
key factor. The need for new data-dependent approaches is driven by the existing …