# Device ID Classification on IQ wireless signal dataset (test)

Source: [Device ID Classification on IQ wireless signal dataset (test)](<https://www.sota2.com/research/sota/device-id-classification-on-iq-wireless-signal-dataset-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:27:59.551Z

Evaluation of Device ID Classification performance on the test split of the IQ wireless signal dataset, measured by Accuracy (%).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Device ID Classification |
| Dataset (including any stated split) | IQ wireless signal dataset (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/device-id-classification-on-iq-wireless-signal-dataset-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Complex Transformer | 59.94 | Not recorded | 68fa6a791e209131cea28601 |
| Concatenated Transformer | 57.57 | Not recorded | 68fa6a791e209131cea28601 |
| Gated Recurrent Unit | 50.38 | Not recorded | 68fa6a791e209131cea28601 |
| Feed-forward neural network | 47.12 | Not recorded | 68fa6a791e209131cea28601 |

### Complex Transformer

Accuracy: 59.94. Result ID: 698e392affc3901de09bc859.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Implementation](<https://github.com/muqiaoy/dl_signal>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Concatenated Transformer

Accuracy: 57.57. Result ID: 698e392affc3901de09bc858.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Gated Recurrent Unit

Accuracy: 50.38. Result ID: 698e392affc3901de09bc857.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa617b1e209131ce9f462d.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Feed-forward neural network

Accuracy: 47.12. Result ID: 698e392affc3901de09bc856.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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