Robust Fading Channel Estimation Under Parameter and Process Noise Uncertainty with Risk Sensitive Filter and Its Comparison with CRLB

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Provided by: WSEAS
Topic: Hardware
Format: PDF
As an alternative to Kalman filtering, a risk-sensitive filtering is proposed for a linear time-varying fading channel estimation problem and its robustness against the parameter and process noise uncertainty in the channel model is explored. The time-varying channel estimation problem is formulated as time varying Finite Impulse Response (FIR) filter with a known rectangular pulse at input and Gaussian noise corrupted signal at output. In time-varying FIR filter, estimation of time varying coefficients with uncertain condition is an important and critical task.
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