Sonar 2087 (the variable depth towed body is pictured here) remains the RN surface fleet's principal long-range ASW sensor. SEA's software application is designed to automatically determine the optimum deployment depth of an active sonar projector and the receive array within the water column. (Richard Scott/NAVYPIX)

UK company Systems Engineering and Assessment (SEA) has been tasked to demonstrate a software application designed to enhance the performance of the UK Royal Navy's (RN's) principal surface ship anti-submarine warfare (ASW) sonar system.

In a 16 April announcement, the company said it would work with prime contractor Thales UK to test the software under the umbrella of the RN's ASW Spearhead programme. While SEA has not explicitly identified the potential exploitation, it is understood to be a candidate solution for the Capability Insertion Project (CIP) designed to improve the performance of the Sonar 2087 variable depth low-frequency active/passive sonar system fitted to RN Type 23 frigates.

Sonar 2087 (the variable depth towed body is pictured here) remains the RN surface fleet's principal long-range ASW sensor. SEA's software application is designed to automatically determine the optimum deployment depth of an active sonar projector and the receive array within the water column. (Richard Scott/NAVYPIX)

UK company Systems Engineering and Assessment (SEA) has been tasked to demonstrate a software application designed to enhance the performance of the UK Royal Navy's (RN's) principal surface ship anti-submarine warfare (ASW) sonar system.

In a 16 April announcement, the company said it would work with prime contractor Thales UK to test the software under the umbrella of the RN's ASW Spearhead programme. While SEA has not explicitly identified the potential exploitation, it is understood to be a candidate solution for the Capability Insertion Project (CIP) designed to improve the performance of the Sonar 2087 variable depth low-frequency active/passive sonar system fitted to RN Type 23 frigates.

Sonar 2087 (the variable depth towed body is pictured here) remains the RN surface fleet's principal long-range ASW sensor. SEA's software application is designed to automatically determine the optimum deployment depth of an active sonar projector and the receive array within the water column. (Richard Scott/NAVYPIX)

UK company Systems Engineering and Assessment (SEA) has been tasked to demonstrate a software application designed to enhance the performance of the UK Royal Navy's (RN's) principal surface ship anti-submarine warfare (ASW) sonar system.

In a 16 April announcement, the company said it would work with prime contractor Thales UK to test the software under the umbrella of the RN's ASW Spearhead programme. While SEA has not explicitly identified the potential exploitation, it is understood to be a candidate solution for the Capability Insertion Project (CIP) designed to improve the performance of the Sonar 2087 variable depth low-frequency active/passive sonar system fitted to RN Type 23 frigates.

Sonar 2087 (the variable depth towed body is pictured here) remains the RN surface fleet's principal long-range ASW sensor. SEA's software application is designed to automatically determine the optimum deployment depth of an active sonar projector and the receive array within the water column. (Richard Scott/NAVYPIX)

UK company Systems Engineering and Assessment (SEA) has been tasked to demonstrate a software application designed to enhance the performance of the UK Royal Navy's (RN's) principal surface ship anti-submarine warfare (ASW) sonar system.

In a 16 April announcement, the company said it would work with prime contractor Thales UK to test the software under the umbrella of the RN's ASW Spearhead programme. While SEA has not explicitly identified the potential exploitation, it is understood to be a candidate solution for the Capability Insertion Project (CIP) designed to improve the performance of the Sonar 2087 variable depth low-frequency active/passive sonar system fitted to RN Type 23 frigates.

Sonar 2087 (the variable depth towed body is pictured here) remains the RN surface fleet's principal long-range ASW sensor. SEA's software application is designed to automatically determine the optimum deployment depth of an active sonar projector and the receive array within the water column. (Richard Scott/NAVYPIX)

UK company Systems Engineering and Assessment (SEA) has been tasked to demonstrate a software application designed to enhance the performance of the UK Royal Navy's (RN's) principal surface ship anti-submarine warfare (ASW) sonar system.

In a 16 April announcement, the company said it would work with prime contractor Thales UK to test the software under the umbrella of the RN's ASW Spearhead programme. While SEA has not explicitly identified the potential exploitation, it is understood to be a candidate solution for the Capability Insertion Project (CIP) designed to improve the performance of the Sonar 2087 variable depth low-frequency active/passive sonar system fitted to RN Type 23 frigates.

Sonar 2087 (the variable depth towed body is pictured here) remains the RN surface fleet's principal long-range ASW sensor. SEA's software application is designed to automatically determine the optimum deployment depth of an active sonar projector and the receive array within the water column. (Richard Scott/NAVYPIX)

UK company Systems Engineering and Assessment (SEA) has been tasked to demonstrate a software application designed to enhance the performance of the UK Royal Navy's (RN's) principal surface ship anti-submarine warfare (ASW) sonar system.

In a 16 April announcement, the company said it would work with prime contractor Thales UK to test the software under the umbrella of the RN's ASW Spearhead programme. While SEA has not explicitly identified the potential exploitation, it is understood to be a candidate solution for the Capability Insertion Project (CIP) designed to improve the performance of the Sonar 2087 variable depth low-frequency active/passive sonar system fitted to RN Type 23 frigates.