Power consumption of Global Positioning System (GPS) acquisition is a great challenge for energy-constrained applications. In this work, a metric named acquisition mean computation overhead is proposed to measure the energy cost. A novel multi-peak double-dwell (MP/DD) acquisition method for GPS weak signal is proposed. It adopts multi-peak correlation results as candidates in the first acquisition dwell and selects the largest one as the final acquisition result in the second acquisition dwell. Theoretical analysis and numerical simulation are presented in detail. Meanwhile, the very-large-scale integration (VLSI) implementation of coarse-and fine-grained acquisition engines applied to the proposed method is done. The detection probability and acquisition mean computation overhead are simulated using the Monte-Carlo method, and its mean acquisition power is tested with an actual chip. We fabricated the GPS signal acquisition engine with a 40 nm complementary metal oxide semiconductor (CMOS) process. The simulation results demonstrate that detection probability is promoted from 18% to 67% when signal power is equal to 23 dB/Hz. The acquisition mean computation overhead is reduced greatly by 64%. Measurement results show that the energy consumption of this design is only 21.5% of the conventional double-dwell/maximum (DD/MAX) method.
The purpose of this paper is to present a novel trajectory prediction method for proximate time-optimal digital control DC-DC converters. The control method provides pre-estimations of the duty ratio in the next several switching cycles, so as to compensate the computational time delay of the control loop and increase the control loop bandwidth, thereby improving the response speed. The experiment results show that the fastest transient response time of the digital DC-DC with the proposed prediction is about 8 s when the load current changes from 0.6 to 0.1 A.
The method of resonant parametric perturbation is a simple non-feedback chaos control means. It is such a suitable control method for controlling chaos in non-autonomous systems that we are inspired to study its applications for chaos control in current controlled Boost converter. Furthermore, the method of resonant parametric perturbation is optimized by selecting the best perturbation phase, so as to achieve the best chaos control results. These relative applications (with or without optimization) in Boost converter can be analyzed theoretically, and the influence induced by variable circuit parameters on the effective perturbation can also be calculated or predicted.
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