---
title: "Machine-Deep Learning for Wireless Signal Classification"
ocid: "ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "DEFENCE SCIENCE AND TECHNOLOGY LABORATORY"
published: "2022-11-09"
---

# Machine-Deep Learning for Wireless Signal Classification

Buyer: DEFENCE SCIENCE AND TECHNOLOGY LABORATORY  
Current stage: Award  
OCID: ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d

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## Summary

The Defence Science and Technology Laboratory in Salisbury, England, has completed a procurement process for the provision of Machine-Deep Learning for Wireless Signal Classification services. The contract, valued at £379,347.5 GBP, was awarded through a selective procurement method by calling off from a framework agreement. The contract period is from 20th October 2022 to 31st May 2023.

This tender presents an opportunity for businesses specialising in research and development services within the field of wireless signal classification to engage with the Defence Science and Technology Laboratory. Companies with expertise in machine-deep learning technologies and consultancy services can potentially compete for similar contracts in the future through framework agreements like this one.

## Notice

Awarded contract - Published for Transparency purposes.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/3d2aa500-abc1-4b9b-8abb-ff44656f6ea1 |
| Notice type | Award Notice |
| Procurement type | Framework |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Call-off from a framework agreement |
| Tender suitability | Not specified |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 9 Nov 2022 |
| Submission deadline | 21 Aug 2022 |
| Future notice date | Not specified |
| Award date | 19 Oct 2022 |
| Contract period | 19 Oct 2022 - 31 May 2023 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £379,347 |
| Lots value | Not specified |
| Awards value | £379,347 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DEFENCE SCIENCE AND TECHNOLOGY LABORATORY |
| Locality | SALISBURY |
| Post town | Salisbury |
| Postcode | SP4 0JQ |
| Country | England |
| ITL 1 | TLK South West (England) |
| ITL 2 | TLK7 Gloucestershire and Wiltshire |
| ITL 3 | TLK72 Wiltshire |
| Local authority | Wiltshire |
| Electoral ward | Winterslow & Upper Bourne Valley |
| Westminster constituency | Salisbury |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 2 |
| Supplier names | L3HARRIS TRL TECHNOLOGY; NORTHEASTERN UNIVERSITY |

## CPV Codes

### Divisions

- 73 - Research and development services and related consultancy services

### Codes

- 73000000 - Research and development services and related consultancy services

## Release History

- 9 Nov 2022 at 11:53 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/3d2aa500-abc1-4b9b-8abb-ff44656f6ea1

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/3d2aa500-abc1-4b9b-8abb-ff44656f6ea1
  9th November 2022 - Awarded contract notice on Contracts Finder
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/b8a95327-a6fc-4da0-974f-c7911c657387
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/1c53bbd3-0e05-4115-90bb-0286c7940182
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/712fc090-8c65-43dc-9279-2cc84b65ae1e

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-5707fbf2-44a7-445b-9760-40f84afd4b3d.json.