Adaptive tracking of narrowband HF channel response
Date
2003Source Title
Radio Science
Print ISSN
0048-6604
Publisher
Wiley-Blackwell Publishing
Volume
38
Issue
6, 1108
Pages
16/1 - 16/9
Language
English
Type
ArticleItem Usage Stats
228
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Abstract
Estimation of channel impulse response constitutes a first step in computation of scattering function, channel equalization, elimination of multipath, and optimum detection and identification of transmitted signals through the HF channel. Due to spatial and temporal variations, HF channel impulse response has to be estimated adaptively. Based on developed state-space and measurement models, an adaptive Kalman filter is proposed to track the HF channel variation in time. Robust methods of initialization and adaptively adjusting the noise covariance in the system dynamics are proposed. In simulated examples under good, moderate and poor ionospheric conditions, it is observed that the adaptive Kalman filter based channel estimator provides reliable channel estimates and can track the variation of the channel in time with high accuracy.
Keywords
Adaptive trackingHF channel
Kalman filter
Algorithms
Electromagnetic wave propagation
Estimation
Kalman filtering
Signal detection
Signal processing
State space methods
Adaptive tracking
Channel equalization
Radio wave propagation
Scattering function
Adaptive systems