Analysis, Calibration, and Performance Evaluation of a Generalized <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math> </inline-formula>-Phase Quadrature Phase Shift Frequency Selective Receiver
Bibliographic record
Abstract
In this paper, a new low-power and blocker-tolerant receiver architecture, the generalized N-phase quadrature phase shift frequency selective (QPS-FS), is proposed and analyzed that is suitable for radio frequency (RF) energy harvesting networks. A complete comparative analysis of the N-phase QPS-FS receiver with conventional N-path passive mixer (P-M) receiver is also provided. The QPS-FS receiver utilizes the impedance translation concept to improve the receiver selectivity but eliminates the need of an active multiphase clock generation circuit used in the conventional N-path P-M receivers. It uses a single clock signal source at the desired signal carrier frequency and a phase shift network in the RF path of the receiver for frequency downconversion and quadrature (I/Q) demodulation. The QPS-FS receiver requires a slower clock signal source, the frequency of which is equal to the desired band RF signal carrier frequency (fc) as opposed to at least N/2 times fcfor the conventional N-path P-M receivers. Consequently, the lower frequency clock source requirement extends the frequency coverage of the receiver by a factor of at least N/2 for a given clock source with a fixed maximum frequency. Reduction of the operating frequency and elimination of the active multiphase clock generation circuit would also eventually reduce the overall power consumption for the whole receiver system as confirmed through measurements. A wideband receiver calibration approach provides less than 2% of error vector magnitudes between the transmitted and received constellation points for various modulated signals having bandwidths up to 4 MHz.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".