Linearity Enhancement of Multi-bit A/d and D/a Converters Using Data Weighted Averaging
نویسنده
چکیده
A dynamic element matching algorithm, data weighted averaging, is introduced for use in multi-bit data converters. Using this algorithm, distortion spectra from DAC linearity errors are shaped by rst-order noise shaping, resulting in a dynamic range improvement of 9 dB/octave when DAC errors dominate. Combining this technique with random dithering eliminates the aliasing of the DAC errors into baseband. Simulations show that with only 1% element matching 110 dB signal-to-noise ratio (18 bits) is achieved for a third-order 3-bit modulator with an oversampling ratio of 128.
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