Performance of SRC-filtered ODQPSK in mobile radio communications
Bibliographic record
Abstract
The differential detection of OQPSK signals in a mobile radio environment is discussed. Two implementations, square-root-raised-cosine-filtered offset differential quadrature phase shift keying (SRC-ODQPSK) and constant envelope ODQPSK (CE-ODQPSK), are evaluated using computer simulation. It is demonstrated that a compact spectrum and low envelope variation of the modulated signal are achievable using SRC-ODQPSK. Its bit-error-rate (BER) performance is superior to that of /spl pi//4-DQPSK in hardlimited and fast Rayleigh fading channels. It has also been found that the CE-ODQPSK signal has a power spectral density (PSD) which is comparable to that of Gaussian minimum shift keying (GMSK) (BT = 0.4). In an additive white Gaussian noise (AWGN) channel, it outperforms one-bit and two-bit differentially detected GMSK (BT = 0.4) by 4 dB and 1.5 dB, respectively, at a BER of 10/sup -4/. The good spectral and envelope properties, superior error performance, and simple receiver configurations make SRC- and CE-ODQPSK attractive for use in power- and bandwidth-limited mobile radio communications.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".