Incoherent spatial diversity combining scheme for spread spectrum
Bibliographic record
Abstract
There are applications in spread spectrum channels where spatial diversity is required to mitigate fading. The spreading gain in such channels is often limited to reduce the chances of a nearby interferer being in-band. With modest spreading gains the signal bandwidth may be less than the coherence bandwidth. In such cases receiver-based multi-path diversity is not feasible, and spatial diversity is used to combat fading. This study improves and extends the work presented in US patent #6389085 B1, which exploits the structure of spread spectrum signals to implement Nth order spatial diversity with simple incoherent radio frequency combining. An improved combining scheme is proposed here together with a special pseudo-random noise (PN) sequence to reduce intra symbol interference. A unique coherent all-digital demodulator is also provided. The signal-to-noise ratio (SNR) of the new system is about 3.5 dB higher than that of the original system described in the patent. The new receiver is comparable in cost to selection diversity, but does not switch antennas and therefore, does not suffer the momentary signal drop-outs. However, the penalty for eliminating the drop outs is a 1.5 dB lower output SNR.
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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 | 0.002 | 0.001 |
| 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".