Design of a Delta Threshold Voltage Difference based fully Embedded Read Only Memory along with a Skew Sense Amplifier

Balaji, V.; Ranga, Ch.K.S.D.; Shylashree, N.; Praveena, N.

doi:10.1109/rteict46194.2019.9016855

Cited by 1 publication

(1 citation statement)

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“…The structure of the DDS applied in this paper (Fig. 15) mainly includes a phase accumulator [31] and a read-only memory (ROM) [32] . K is the frequency control word, which is converted from the Doppler frequency shift, is the hardware clock, and is the output sine wave frequency, i.e., the Doppler frequency shift component.…”

Section: Hardware Doppler Frequency Shift Component Generationmentioning

confidence: 99%

Motion Model of Floating Weather Sensing Node for Typhoon Detection

Dong

Cao

2022

Complex Syst. Model. Simul.

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To improve the accuracy of typhoon prediction, it is necessary to detect the internal structure of a typhoon. The motion model of a floating weather sensing node becomes the key to affect the channel frequency expansion performance and communication quality. This study proposes a floating weather sensing node motion modeling method based on the chaotic mapping. After the chaotic attractor is obtained by simulation, the position trajectory of the floating weather sensing node is obtained by space and coordinate conversion, and the three-dimensional velocity of each point on the position trajectory is obtained by multidimensional linear interpolation. On this basis, the established motion model is used to study the Doppler frequency shift, which is based on the software and physical platform. The software simulates the relative motion of the transceiver and calculates the Doppler frequency shift. The physical platform can add the Doppler frequency shift to the actual transmitted signal. The results show that this method can effectively reflect the influence of the floating weather sensing node motion on signal transmission. It is helpful to research the characteristics of the communication link and the design of a signal transceiver for typhoon detection to further improve the communication quality and to obtain more accurate interior structure characteristic data of a typhoon.

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Section: Hardware Doppler Frequency Shift Component Generationmentioning

confidence: 99%