Differential Manchester decoding circuit and system

Abstract

The invention provides a differential Manchester decoding circuit and system. The differential Manchester decoding circuit comprises a filter unit, a clock recovering unit, a code element recovering unit and a decoding unit. The filter unit is used for filtering glitches in input signals and outputting obtained data without the glitches to the clock recovering unit and the code element recovering unit. The clock recovering unit is used for decoding the data without the glitches, obtaining a coupling clock and outputting the coupling clock to the decoding unit. The code element recovering unit is used for shaping the data without the glitches, obtaining combined data and outputting the combined data to the decoding unit. The decoding unit is used for sampling the combined data according to the coupling clock to obtain original data code elements. The differential Manchester decoding circuit is simple in decoding process and high in decoding rate, and the differential Manchester decoding circuit and system are suitable for wireless communication products at low frequencies.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a differential Manchester decoding circuit and a decoding system. Background technique [0002] In existing Ringing Choke Converter (RCC) limited communication and 13.56MHz wireless communication, differential Manchester coding is widely used due to its advantages of high efficiency and coupling clock coding information. The wireless communication sending end transmits the original data after being encoded by differential Manchester through Pulse Width Modulation (PWM) or Pulse Density Modulation (PDM), wherein, figure 1 shows the raw data waveform a, figure 1 shows the encoded raw data waveform d, figure 1 A typical transmit waveform c is shown. [0003] When the wireless receiving end receives the transmitted waveform c, the upper half and the lower half of the waveform are respectively quantized by ADC sampling and comparison or by a fixed level comparator to obtain di...

AI Technical Summary

Problems solved by technology

In the prior art, complex software algorithms are used to decode the signals d and e corresponding to waveform d and waveform e. The decoding process is relatively complicated, and the signal period changes with the environment drift during wireless transmission, which makes the sampling window difficult.

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