Innovative Waveforms and Related Signal Processing for Missile Defense Radars

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-10-C-7345
Agency Tracking Number: B093-017-0070
Amount: $99,885.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solitcitation Year: 2009
Solitcitation Topic Code: MDA09-017
Solitcitation Number: 2009.3
Small Business Information
Technology Service Corporation
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
Duns: 053885604
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Menachem Levitas
 Chief Scientist Washington Ops.
 (301) 576-2307
 menachem.levitas@tsc.com
Business Contact
 David Schubert
Title: Vice President Washington Ops.
Phone: (301) 576-2342
Email: david.schubert@tsc.com
Research Institution
N/A
Abstract
Missile defense radar applications face increasing challenges in their detection, tracking, and discrimination functions. They include (a) noise jamming and clutter environment that become more severe as the required system sensitivities grow larger; (b) deceptive jamming that becomes more insidious with the progress of digital technology; and (c) difficult RFI situations as the operating bands become wider and as the RF environment becomes more crowded. To measure up against such challenges TSC proposes to leverage and to further evolve extremely fast waveform and filter generation capabilities that are based on TSC’s developed Local Optimization technique, together with corresponding signal processing algorithms. They include (a) high control over time domain characteristics with good peak and integrated sidelobes, as well as tailored notches; (b) spectral control with tailored in-band notching; (c) polyphase based orthogonal families of codes with excellent auto and cross-correlation characteristics; (d) synthetic wideband (HRR) waveforms with narrowband processing coupled with low spectral overlap which provide time-energy efficiency coupled with good electronic protection potential; and (e) significant experience and existing capabilities in signal environment modeling and adaptive processing. The adaptive use of said waveforms in the changing environments is a key goal of TSC throughout the proposed effort.

* information listed above is at the time of submission.

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