Browsing by Author "Chen, Charlie Chung-Ping"

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A-194 dBc/Hz FOM Interactive Current-Reused QVCO (ICR-QVCO) with Capacitor-Coupling Self-Switching Sinusoidal Current Biasing (CSSCB) Phase Noise Reduction Technique
(2015)
Wu, Kuan-I
;
Shen, I-Shing
;
Jou, Christina F.
;
Chen, Charlie Chung-Ping
;
電信工程研究所
This paper proposed a novel interactive current-reused QVCO (ICR-QVCO) architecture based on capacitor-coupling self-switching sinusoidal current biasing (CSSCB) phase noise reduction technique. These interactive generated quadrature outputs have minimum phase error arising from the mismatch due to process variation and construct the better quadrature phase relationship than ones with conventional QVCO structures. The measured phase noise at an offset of 1 MHz from 4.84 GHz is -125.84 dBc/Hz, which correspond to FOM of -194 dBc/Hz.
Simultaneous area minimization and decaps insertion for power delivery network using adjoint sensitivity analysis with IEKS method
(2006)
Huang, Pei-Yu
;
Lee, Yu-Min
;
Tsai, Jeng-Liang
;
Chen, Charlie Chung-Ping
;
電信工程研究所
The soaring clocking frequency and integration density demand robust and stable power delivery to support tens of millions of transistor switching. In this paper, we consider the problem of minimizing I he area of wires and decoupling capacitors (decaps) for a power delivery network, subject to the limit on integral of voltage drops. First, we derive the gradients of constraint function without Tellegen's theorem. This greatly simplifies the discuss of adjoint sensitivity analysis. Then, we apply the IEKS method to speed up the sensitivity analysis over 3 times. Finally, this efficient analyzer is incorporated with the state-of-the-art nonlinear programming package, SNOPT, to perform the optimization. Extensive experimental results show that the proposed method can work efficiently for large power delivery networks.