We present a strategy for designing an α-β-η-θ filter, a fixed-gain moving-object tracking filter using position and velocity measurements. First, performance indices and stability conditions for the filter are analytically derived. Then, an optimal gain design strategy using these results is proposed and its relationship to the position-velocity-measured (PVM) Kalman filter is shown. Numerical...

This paper describes the work for radar signal processor, core of Cheia space surveillance radar. It presents basic operation, requirements and achieved processing performance together with a description optimizations both in terms signal-to-noise ratio software processing. The Radar is financed by European Space Agency will be used tracking low Earth orbit objects refining international catalo...

Insect pollinators such as bumblebees play a vital role in many ecosystems, so it is important to understand their foraging movements on a landscape scale. We used harmonic radar to record the natural foraging behaviour of Bombus terrestris audax workers over their entire foraging career. Every flight ever made outside the nest by four foragers was recorded. Our data reveal where the bees flew ...

System Identification based on neural networks has become a very important field in research projects. An attempt has been made to use these neural networks based on a simple back propagation algorithm, with some modifications on input/output vectors, to track a moving object such as aircraft. Prediction was also made on the aircraft position, one step ahead in real time. Introduction The capab...

Matched-filter is widely used in real time signal processing, especially in Radar Signal Processing. This paper provides a novel structure of digital matched-filter used in tracking radar system. This design applies block-floating-point arithmetic to improve the precision. The whole digital matched-filter is implemented in only one chip of FPGA. This ASIC has two work modes: 512 points pulse co...

Many surveillance systems incorporate High Range Resolution (HRR) radar and Synthetic Aperture Radar (SAR) modes to be able to capture moving and stationary targets. Feature-, signature-, and categorical-aided tracking and Automatic Target Recognition (ATR) applications benefit from HRR radar processing. Successful Simultaneous Tracking and Identification (STID) [6, 12, 65] applications exploit...

We introduce a novel probabilistic tracking algorithm that incorporates combinatorial data association constraints and model-based track management using variational Bayes. We use a Bethe entropy approximation to incorporate data association constraints that are often ignored in previous probabilistic tracking algorithms. Noteworthy aspects of our method include a model-based mechanism to repla...

In this paper, we describe an automatic storm tracking system to help with the forecasting of severe storms. The concepts fuzzy point, fuzzy vector, fuzzy length of a fuzzy vector, and fuzzy angle between two non-zero fuzzy vectors are rst examined. We use a region splitting algorithm with dynamic thresholding to determine storm masses in Doppler radar intensity images. We represent the center ...

Fast estimation and tracking of the principal subspace of a sequence of random vectors is a classic problem, widely encountered in areas such as radar, sonar and speech processing, data compression, data filtering, parameter estimation, pattern recognition, neural analysis, wireless communications, to name just a few. Among the most robust algorithms for subspace tracking there are the so calle...