Distributed Aperture Radar Signal Processing Algorithms, Waveforms, and Signal Processing

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,897.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-08-C-0105
Agency Tracking Number:
B073-037-0258
Solicitation Year:
2007
Solicitation Topic Code:
MDA07-037
Solicitation Number:
2007.3
Small Business Information
RADIANCE TECHNOLOGIES, INC.
350 Wynn Drive, Huntsville, AL, 35805
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
031994218
Principal Investigator:
Stephen Welstead
Principal Investigator
(256) 489-8984
swelstead@radiancetech.com
Business Contact:
Kevin Bice
Sr. Contract Administrator
(256) 489-8964
kbice@radiancetech.com
Research Institution:
n/a
Abstract
Missile defense radars have traditionally consisted of large aperture ground-based arrays. These large aperture radars are expensive to build and not easily transportable. An alternative approach is the use of distributed aperture systems collectively acting as a single sensor. These systems use a number of smaller, relatively inexpensive arrays distributed over a wide spatial aperture. When coherently combined, the system of smaller distributed arrays can achieve or exceed the performance of a single large array. Radar system performance can be enhanced by exploiting the unique advantages of a large spatially distributed array. Multiple-input multiple-output (MIMO) approaches can be leveraged to improve directional information about the target and sources of electronic countermeasures (ECM). Beamforming at the distributed aperture level can increase the signal-to-noise ratio (SNR) and can mitigate ECM through the placement of nulls. Multistatic approaches can also improve SNR. Waveform properties such as orthogonality play an important role in cooperative distributed apertures. The proposed effort will use a high-fidelity waveform tool to investigate MIMO, beamforming and multistatic approaches for distributed aperture radars for missile defense. These approaches will benefit the development of next generation radar systems using a distributed aperture architecture. Commercial applications of MIMO include improved cell phone performance.

* information listed above is at the time of submission.

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