4 results about "Adaptive equalizer" patented technology

This invention relates to the field of KVM switching control and intelligent video transmission, specifically to a seamless switching control system and method for KVM switches based on reinforcement learning. The system includes: collecting physical layer state data of the current data link and the target data link, including cable impedance attenuation values, bit error rate before adaptive equalizer compensation, historical timing data readout time, estimated environmental signal-to-noise ratio, and terminal configuration mode; inputting the physical layer state data into a reinforcement learning decision engine based on a deep Q-network, outputting link compensation parameters and pre-loaded timing parameters; performing a virtual handshake operation based on the pre-loaded timing parameters to generate a source-end link hold state; completing the reconstruction of underlying physical layer parameters and cross-matrix switching in the vertical blank area of ​​the video stream, and updating the model reward value based on the retrained state of the switched link; this invention achieves adaptive seamless switching control for high-speed video links such as display ports.

A receiver (20) includes an adaptive equalizer (24), a processor (36) and a decoder (32). The adaptive equalizer is configured to equalize a signal. The processor is configured to estimate a gain correction, which compensates for attenuation of the equalized signal by the equalizer due to noise present in the signal. The decoder is configured to decode the equalized signal. At least one of (i) equalization of the signal by the adaptive equalizer and (ii) decoding of the equalized signal by the decoder, is based on the gain correction.

This invention discloses a low-complexity symbol synchronization method and system. The method includes: S1, preprocessing the received signal; S2, inputting the preprocessed signal to the adaptive equalizer of the adaptive equalization module for equalization processing. The adaptive equalizer equalizes the signal by updating the tap weights. In the steady-state phase, its tap weight distribution tracks the fractional delay changes caused by SFO (Segmented Time Delay); S3, monitoring the amplitude changes of each tap weight in the adaptive equalization module in real time and recording the position of the tap with the maximum weight; S4, when the offset of the position of the tap with the maximum weight relative to a preset position exceeds a preset threshold, it is determined that the symbol timing has generated cumulative symbol timing drift, triggering the symbol synchronization operation; S5, executing and completing symbol synchronization. Its advantages are: this method reuses an existing adaptive equalizer, using its weight distribution as a direct observation of the synchronization state, significantly reducing FPGA resource consumption.