| 摘要 |
A method and apparatus for detecting, with an unknown data training, high-rate data signals coming through a digital communication system whose characteristics is dynamic and unknown. The method underlying the present invention is based on an error estimation criterion which has embodied the emphasis on system characteristics. By means of this method, an apparatus is able to track the characteristics of a pre-designed partial response signaling system automatically, thereby to effect an adaptive control over the characteristics of the digital communication system described above with an unknown data training. In accordance with the first embodiment of the present invention, an adaptive convolutional channel encoding process is jointly operated with an adaptive system filtering process which tracks the characteristics of the pre-designed partial response signaling system automatically with an unknown data training. In according with the second embodiment of the present invention, an adaptive maximum likelihood sequence search of transmitted data symbols in a Trellis state diagram is jointly optimized with the adaptive convolutional channel encoding and the adaptive system filtering process described in the first embodiment of the present invention. The adaptive receiver with an unknown data training described in the present invention is reliable in the sense that minimized error probability is reached in the sequence search of transmitted data symbols and is flexible in the sense that it has no adverse effects on the operations of a communication network.
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