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The channel response required by equalization has been estimated via the recursive error method.
The simulation result of the partial response channel estimation via the recursive error method for wideband 3-REC multilevel CPM is illustrated by Fig. 5.
With a memory length L=3, the partial response channel for the 3-REC multilevel CPM can be expressed via m[!t] = s[!t] + c_{1}s[!t-1] + c_{2}s[!t-2]+z(t), (44) Fig. 5 Partial response channel estimation for 3-REC multilevel CPM via recursive error method.
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The IIR ANF in Equation 1 can be directly realized using the recursive prediction error algorithm [3].
It consists of a Linear Kalman Filter whose parameters are simultaneously identified by a Recursive Prediction Error algorithm.
The proposed Clustered-HMLP network architecture is trained using modified training algorithm called Clustered-Modified Recursive Prediction Error (Clustered-MRPE).
The algorithm of the recursive prediction error method is then summarized via epsilon(t) = y(t -hat{y}(t -hat{y.
This paper presents a new type of ship autopilot applying the linear quadratic gaussian (LQG) optimal control algorithm linked to the recursive prediction error (RPE) algorithm.
To improve the prediction performance, the training task is accomplished using on-line learning algorithms based on the recursive prediction error (RPE) approach.
We investigated three different estimation techniques based on recursive prediction error method (RPEM), dual extended Kalman filter (DEKF), and joint extended Kalman filter (JEKF).
Training of the LF-DFNN models is achieved using an optimal on-line learning scheme, the decoupled recursive prediction error algorithm (DRPE).
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