A new high-efficiency, linear power amplification design technique derived from nonlinear dynamical systems
Bibliographic record
Abstract
This paper describes the design and simulation results of a new concept in power amplification called Syncrodyne power amplification. Here we describe the design procedure for our Series-3 power amplifier for GSM waveforms. The foundation of this design has its basis in a subset of nonlinear behavior called chaotic dynamics. Since the groundbreaking publication by Ott, Grebogi, and Yorke [1] on control of chaotic systems, a great deal of work has been done in communication using chaos [2] [3], weak signal detection [4], and synchronization [5], among many other things. We first reported on the formulation, simulation, and experimentation of the Syncrodyne amplification technique for a 2-MHz system [6], then proposed and simulated an 800-MHz design using a heterojunction bipolar transistor (HBT) [7]. Since then, we’ve developed a method to apply this technique for the power amplification of GSM waveforms. Figure 1 shows a block diagram of the Syncrodyne Power Amplifier. The general concept is that a small input signal induces a chaotic oscillator of sufficiently higher power to take on its behavior via synchronization. The breakthrough realization was that a chaotic oscillator can be synchronized to a non-chaotic oscillation, and thereby take on the behavior of an arbitrary waveform. A modified Colpitt’s oscillator designed by Cicarrelli [8] was used as the central oscillator. Although this oscillator was not designed to be chaotic, it is well documented that an oscillator of Colpitts topology can produce chaotic oscillations [9]. Figure 2 shows the frequency content of the output of the free running chaotic oscillator. It shows the broad spectral content that is indicative of chaotic behavior as well as a peak at fundamental frequency of 860 MHz . We show that the gain is directly related to the coupling characteristics of the chaotic system, governed by the unstable manifolds [10], while the high efficiency is a result of operating the transistor in strongly nonlinear region of operation, thereby maximizing the voltage and current swings. Figure 3 shows the frequency content of the amplifier output. To date, our simulation gives results of 16-dB gain, 50% PAE, with harmonics at least 30- dB down from the fundamental. We continue to push the performance limits and are currently developing the prototype device for applications in cellular handsets and base stations that demonstrate 70% PAE or better. REFERENCES [1] E. Ott, C. Grebogi, J. A. Yorke, Phys. Rev. Lett. 64, 1196 (1990). [2] S. Hayes, C. Grebogi, E. Ott, Phys. Rev. Lett. 70, 3031 (1993). [3] H. Dedieu, M.P. Kennedy, and M. Hasler, “Chaos shift keying; Modulation and demodulation of a chaotic carrier using self-synchronizing Chua’s circuit,” IEEE Transactions on Circuits and Systems I, vol. 40, pp. 634-642, 1993. [4] C. M. Glenn, S. Hayes, Weak Signal Detection by Small-Perturbation Control of Chaotic Orbits, 1996 IEEE-MTT Symposium Digest (June 1996). [5] L. M. Pecora and T. L. Carroll, Synchronization in Chaotic Systems, Phys. Rev. Lett. 64, 821 (1990). [6] C. M. Glenn, Synthesis of a Fully-Integrated Digital Signal Source for Communications from Chaotic Dynamics-based Oscillations, Doctoral Dissertation, The Johns Hopkins University, January 2003. [7] C. M. Glenn, High-Gain, High-Efficiency Power Amplification for PCS, International Symposium on Advanced Radio Technology Digest, March 2003. [8] S. Cicarelli, Development of a Digital Wireless Communication System for Security Sensor Applications, Defense Nuclear Agency (Jan 1998) [9] Francis Moon, Chaotic Vibrations, Wiley & Sons, New York, 1987. [10] Edward Ott, Chaos in Dynamical Systems, Cambridge Univ. Press, Canada, 1993.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".