Innovative Waveforms and Related Signal Processing for Missile Defense Radars

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,885.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
HQ0006-10-C-7345
Award Id:
96984
Agency Tracking Number:
B093-017-0070
Solicitation Year:
n/a
Solicitation Topic Code:
MDA 09-017
Solicitation Number:
n/a
Small Business Information
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
053885604
Principal Investigator:
Menachem Levitas
Chief Scientist Washington Ops.
(301) 576-2307
menachem.levitas@tsc.com
Business Contact:
David Schubert
Vice President Washington Ops.
(301) 576-2342
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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