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A proposed simulation technique to study the series resistance and related millimeter-wave properties of Ka-band Si IMPATTs from the electric field snapshots

Published online by Cambridge University Press:  23 January 2013

Aritra Acharyya*
Affiliation:
Institute of Radio Physics and Electronics, University of Calcutta, 92, APC Road, Kolkata 700009, India. Phone: +91 9432979721
Suranjana Banerjee
Affiliation:
Institute of Radio Physics and Electronics, University of Calcutta, 92, APC Road, Kolkata 700009, India. Phone: +91 9432979721 Academy of Technology, West Bengal University of Technology, Adisaptagram, Hooghly 712121, West Bengal, India
J. P. Banerjee
Affiliation:
Institute of Radio Physics and Electronics, University of Calcutta, 92, APC Road, Kolkata 700009, India. Phone: +91 9432979721 Academy of Technology, West Bengal University of Technology, Adisaptagram, Hooghly 712121, West Bengal, India
*
Corresponding author: A. Acharyya Email: ari_besu@yahoo.co.in
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Abstract

A large-signal model and a simulation technique based on non-sinusoidal voltage excitation are used to obtain the electric field snapshots from which the series resistance and related high-frequency properties of a 35 GHz Silicon Single-Drift Region (SDR) Impact Avalanche Transit Time (IMPATT) device have been estimated for different bias current densities. A novel method is proposed in this paper to determine the parasitic series resistance of a millimeter-wave IMPATT device from large-signal electric field snapshots at different phase angles of a full cycle of steady-state oscillation. The method is based on the depletion width modulation of the device under a large-signal condition. The series resistance of the device is also obtained from the large-signal admittance characteristics at threshold frequency. The values of series resistance of a 35 GHz SDR IMPATT diode obtained from the proposed method and the large-signal admittance method are compared with experimentally reported values. The results show that the proposed method provides better and closer agreement with the experimental value.

Information

Type
Research Paper
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2013
Figure 0

Fig. 1. (a) One-dimensional model of the SDR IMPATT device and (b) voltage driven IMPATT oscillator and associated circuit.

Figure 1

Table 1. Structural and doping parameters.

Figure 2

Fig. 2. (a) Ordinary mesa structure of SDR IMPATT diode, (b) the mesa etched p+-layer is approximated to be a tapered conical-shaped structure, and (c) the tapered conical shaped p+-layer is considered to consist of a number of concentric cylindrical layers one below the other each having the same thickness (Wp+/S, where S is the number of cylinders) with increasing diameter from D0 to DS−1.

Figure 3

Fig. 3. Equivalent model of the packaged IMPATT source.

Figure 4

Fig. 4. Snapshots of electric field profile for each quarter of one complete cycle of steady-state oscillation for different bias current densities (at 55% voltage modulation).

Figure 5

Table 2. PTFs for different bias current densities at different phase angles.

Figure 6

Fig. 5. Time variations of peak electric fields, depletion layer widths, and series resistances for two consecutive cycles of steady-state oscillation for different bias current densities (at 55% voltage modulation).

Figure 7

Fig. 6. Variations of series resistance with RF voltage for different bias current densities.

Figure 8

Table 3. Series resistance calculated from depletion width modulation (the proposed method) for 55% voltage modulation.

Figure 9

Table 4. Series resistance calculated from admittance characteristics (the conventional method) for 55% voltage modulation.

Figure 10

Fig. 7. Series resistance calculated by using the conventional method, the proposed method, and series resistance obtained from experimental measurement [8] versus optimum frequency.

Figure 11

Fig. 8. Variations of RF power output and large-signal DC to RF conversion efficiency with RF voltage for different bias current densities.