Browsing by Author "Chao, Kuan-Chieh"

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All-Digital Mismatched Calibrator and Compensator for SR Latch-Based Variable-Gain Time Amplifier
(2020-01-01)
Chao, Kuan-Chieh
;
Lai, Jung-Chin
;
Hsu, Terng-Yin
;
資訊工程學系
;
Department of Computer Science
Two major mismatches in SR latch-based time amplifiers (TA) include input skew, which causes gain imbalance, and loading mismatch, which reduces gain accuracy. Accordingly, we propose an all-digital mismatched self-calibrator and compensator for an SR latch-based variable-gain TA. Tunable matching cells and variable capacitors are built into TAs to compensate for input skew (gain imbalance) and loading mismatch (gain inaccuracy). To ensure that the proposed calibration works efficiently and accurately, the TA must provide at least high and low gains where the low gain calibrates the most significant bit (MSB) and the high gain calibrates the least significant bit (LSB). This self-calibrator costs 4375 gates, and the power consumption is 2.8 mA for the TA gain with 2 and 3.2 mA for the TA gain with 16 at a sampling rate of 10 MHz.
MLP/BP-based MIMO DFEs for Suppressing ISI and ACI to Recover Distorted QPSK Signal in Severe ISI Channels
(2008)
Hsu, Terng-Ren
;
Hsu, Terng-Yin
;
Chao, Kuan-Chieh
;
Chiang, Shih-Yuan
;
資訊工程學系
In this work, we base oil multi-layered perceptron neural networks with backpropagation algorithm (MLP/BP) to construct multi-input multi-output (MIMO) decision feedback equalizers (DFEs). The proposal is used to recover distorted quadrature phase-shift keying (QPSK) signal. From the simulations, we note that the proposed scheme can recover severe distorted signals as well as suppress intersymbol interference (ISI), adjacent channel interference (ACI) and background additive white Gaussian noise (AWGN). The better bit-error-rate (BER) and packet-error-rate (PER) performance as compared to a set of least-mean-square (LMS) DFEs is achieved. The presented MLP/BP-based MIMO DFE under the severe ISI channels with ACI and AWGN can improve over 1.5dB at PER=10(-1) and BER=10(-3).