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Journal ArticleDOI

Use of the radial velocity measurement in target tracking

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TLDR
In this article, a new sequential filtering algorithm that incorporates the radial velocity measurement into a Kalman filter, in the presence of correlated range and radii measurement errors, is presented, and an analysis concerning its asymptotic behavior on the basis of analysis of its stochastic controllability and observability.
Abstract
A new sequential filtering algorithm that incorporates the radial velocity measurement into a Kalman filter, in the presence of correlated range and radial velocity measurement errors, is presented. An analysis is given concerning its asymptotic behavior on the basis of analysis of its stochastic controllability and observability. The simulation results verify the analysis and show that the new algorithm is superior to the conventional extended Kalman filter (EKF) and close to an ideal filter.

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Citations
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Proceedings ArticleDOI

Sequential unscented Kalman filter for radar target tracking with range rate measurements

TL;DR: In this paper, a sequential unscented Kalman filter (SUKF) is proposed to solve the radar target tracking problem with range rate measurements, in which the errors between range and range rate measurement are correlated.
Journal ArticleDOI

Sequential nonlinear tracking using UKF and raw range-rate measurements

TL;DR: In this paper, a three-dimensional converted measurements filtering (CMF) with both converted position and raw range-rate measurement is proposed to solve the Doppler radar target tracking, where the error between radar-target range and range rate are correlated.
Journal ArticleDOI

Statically Fused Converted Position and Doppler Measurement Kalman Filters

TL;DR: A new linear filter is presented to extract nonlinear pseudostates from converted Doppler measurements, and a new filtering structure is established, statically fused converted measurement Kalman filters (SF-CMKF).
Journal ArticleDOI

Efficient and Enhanced Multi-Target Tracking with Doppler Measurements

TL;DR: A simple but efficient Doppler data association (DDA) method which utilises both position and Dopplers measurements for single and multi-target tracking, which demonstrates a significant improvement in tracking performance.
Journal ArticleDOI

Basic tracking using nonlinear 3D monostatic and bistatic measurements

TL;DR: In this paper, the authors consider methods for measurement filtering (tracking without considering data association) using a single-Gaussian approximation when monostatic and bistatic position and Doppler measurements are available.
References
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Book

Matrix Analysis

TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.
Journal ArticleDOI

Unbiased converted measurements for tracking

TL;DR: In this article, the exact compensation for the bias in the classical polar-to-cartesian conversion is shown to be multiplicative and to depend on the statistics of the cosine of the angle measurement errors.
Proceedings ArticleDOI

Survey of maneuvering target tracking: dynamic models

TL;DR: In this paper, the authors provide a comprehensive and up-to-date survey of the problems and techniques of tracking maneuvering targets in the absence of the measurement-origin uncertainty.
Book

Radar Data Processing

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