Performance comparison of linear MMSE and coherent RAKE receivers in multipath asynchronous random-CDMA
Bibliographic record
Abstract
This paper investigates the design of a linear minimum mean square error (MMSE) receiver for interference suppression in asynchronous random code-division multiple-access (random-CDMA) systems, such as IS-95 and wideband-CDMA (WCDMA), operating in multipath environments. Its performance is compared with that of the coherent RAKE receiver. The figure of merit is average output signal-to-noise-ratio (SNR). The proposed receiver maximizes SNR and considers all the desired user's paths unlike the standard RAKE receiver which selects a subset of them. The performance improvement is supported and quantified by numerical examples. The achieved gain is shown to be substantial in nonuniform power conditions (typical of next-generation CDMA systems) and dense multipath environments where the signals are received via many paths. The chip pulse shape is the square-root raised cosine (Sqrt-RC) pulse with 22% excess bandwidth.
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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 | 0.001 | 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".