A Novel Orthogonal Chaos-Based Radar Waveform with Optimized Receiver Filtering for Target Detection and Discrimination

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7361
Agency Tracking Number: B122-002-0134
Amount: $99,989.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2012
Solitcitation Topic Code: MDA12-002
Solitcitation Number: 2012.2
Small Business Information
POC Tech Group
41928 Sara Ann Court, Leonardtown, MD, -
Duns: 830994823
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Victor Chen
 Project Manager/Co PI
 (703) 242-0248
 v.c.chen@poctechgroup.com
Business Contact
 Molly Chen
Title: Corporate Officer
Phone: (240) 431-1804
Email: molly@poctechgroup.com
Research Institution
 Stub
Abstract
To achieve the goal of finding radar signal waveforms for supporting target information and deducing sensor-independent attributes, we propose to use a novel chaos-based orthogonal radar signal waveform with matched-filter-like (or adaptive) pulse compression processing for improving target detection and discrimination. Recently introduced quasi-orthogonal waveforms based on chaotic systems possess many desirable characteristics such as high range-resolution, low range side-lobes and good peak to average transmit power ratios. Their wideband spectrum makes them robust to jamming and other countermeasures. In addition, the chaos-based waveforms possess the properties of more robust sensing, improved sensor SNR performance, improved clutter rejection, unambiguous detection capability, outstanding range resolution, and highly potential target identification. Especially, the capability of target identification is due to the embedded identity built in to the derivation of chaos-based signals from a chaos map over the chaos control parameters.

* information listed above is at the time of submission.

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