Signal Separation of Helicopter Radar Returns Using Wavelet-Based Sparse Signal Optimisation

Nguyen, Si T.; Kodituwakku, Sandun; Melino, Rocco; Tran, Hai-tan

Signal Separation of Helicopter Radar Returns Using Wavelet-Based Sparse Signal Optimisation

Active / Technical Report | Accession Number: AD1024210 |

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Abstract:

A novel wavelet-based sparse signal representation technique is used to separate the main and tail rotor blade components of a helicopter from the composite radar returns. The received signal consists of returns from the rotating main and tailrotor blades, the helicopter body, possible land or sea clutter, and other residual components, which may all overlap in time and frequency and therefore conventional time and frequency separation techniques cannot be applied. A sparse signal representation technique is now proposed for this problem with the tunable Q wavelet transform used as the dictionary. The proposed algorithm is demonstrated using both simulated and real radar data X and Ku-band, and is capable of extracting the components of interest successfully.

Author(s):

Nguyen, Si T. ; Kodituwakku, Sandun ; Melino, Rocco ; Tran, Hai-tan

Author Organization(s):

Defence Science and Technology Group Edinburgh, South Australia Australia

Descriptive Note:

Technical Report

Pagination:

0070

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:

Approved For Public Release

Distribution Statement:

Approved For Public Release;

RECORD

Collection: TR

Subject Terms

Joint Capability Areas:

JCA_2_Battlespace Awareness; JCA_2.2.2_Imagery Collection; JCA_2.2_Collection; JCA_6.3.3_Spectrum Management; JCA_6_Net Centric; JCA_6.3.4_Cyber Management; JCA_6.3_Net Management; JCA_5_Command and Control; JCA_5.3_Planning; JCA_1_Force Support; JCA_6.1.3_Switching and Routing; JCA_6.1_Information Transport; JCA_1.2_Force Preparation; JCA_1.3_Human Capital Management; JCA_1.3.2_Personnel Management; JCA_8.2_Shape; JCA_8_Building Partnerships; JCA_1.2.3_Educating; JCA_8.2.3_Build the Capabilities and Capacities of Partners and Institutions; JCA_5.2.2_Develop Knowledge and Situational Awareness; JCA_5.2_Understand

Modernization Areas:

Fully Networked C3; Microelectronics

Communities of Interest:

Air Platforms

Descriptor(s):

helicopters, helicopter rotors, tail rotors, algorithms, Foreign government

Field(s)/Group(s):

Helicopters, Government and Political Science

Keyword(s):

Helicopter radar returns, Signal separation, Wavelet transform, Sparse signal representation

Report Date:

2016 Oct 01

Creation Date:

2017 Jul 19