SBIR-STTR Award

Stability Improvements of Radar Transmitters
Award last edited on: 5/16/2008

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$394,664
Award Phase
2
Solicitation Topic Code
N06-178
Principal Investigator
MrChuck Reed

Company Information

Basic Commerce and Industries Inc (AKA: BCI)

304 Harper Drive Suite 203
Moorestown, NJ 08057
   (856) 778-1660
   schowdhury@bcisse.com
   www.bcisse.com
Location: Multiple
Congr. District: 03
County: Burlington

Phase I

Contract Number: N65538-07-M-0112
Start Date: 3/26/2007    Completed: 6/24/2008
Phase I year
2007
Phase I Amount
$98,383
he overall objective of this proposal is to develop an approach to improve transmitter stability in order to improve radar clutter suppression performance. One approach is to develop an algorithm to effectively 'equalize' out the instability characteristics of the transmitter. This requires sampling of each transmitted pulse, and real-time development of an equalizer filter to be applied to each pulse. A viable solution has been proposed in work performed by NRL. The specific equalizer design approach taken in this work is a frequency domain approach which uses the transmitter samples to generate filter coefficients that yield the ideal matched filter response when the returns are applied. While it is effective in removing the effects of transmitter instability, it assumes a high SNR on the transmitter sample to achieve the best performance. BCI proposes the use of a MMSE equalizer to achieve a more optimal set of coefficients that allow for the removal of the effects of transmitter instability at various SNRs.

Keywords:
Radar Stability, Mti Radar, Transmitter Noise, Noice Cancellation, Adaptive Cancellation, Pulse Doppler

Phase II

Contract Number: N00024-08-C-4136
Start Date: 7/16/2008    Completed: 7/15/2009
Phase II year
2008
Phase II Amount
$296,281
Recently, the Navy has seen a shift from open-ocean or “blue-water” operations to littoral or “brown-water” operations, with warships operating close to shore in high clutter environments. The TNC filter provides a low cost solution CIF improvement. This technology is applicable to several radar families that are fielded and in development. Phase II of the program will focus on characterizing and improving the robustness of the TNC algorithm for a specific radar system and developing the software and hardware for prototype testing of the algorithm. An error framework model will be used to add radar-specific error sources to the TNC algorithm. The MATLAB® model will be optimized for performance in the presence of these errors. A software model and interface board will be developed for integration with the target radar in the final option. Field experiments will be conducted to verify the performance of enhancements to the filter.

Keywords:
Mti Stability, Noise Cancellation, Clutter Improvement, Cross Field Amplifier Noise