USA flag logo/image

An Official Website of the United States Government

Multipath Mitigation Techniques for GPS

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Sigtem Technology, Inc.
1343 Parrott Drive San Mateo, CA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2004
Title: Multipath Mitigation Techniques for GPS
Agency / Branch: DOD / USAF
Contract: FA8650-04-M-1673
Award Amount: $99,993.00


We propose to develop two unconventional techniques to estimate multipath signals and to mitigate their effects on GPS code and carrier measurement accuracy. These two techniques can be applied separately and/or in combination to individual GPS signals and/or to several GPS signals jointly. The first technique will make use of a dual circularly polarized antenna from which the RHCP signal will be used for normal operation while the LHCP signal is for multipath estimation. With a slight increase in hardware, the multipath signals can be strengthened by 10dB. This is significant to obtain more accurate estimation of closely spaced multipath signals. The second technique will estimate the multipath parameters in the frequency domain. This frequency-domain formulation is equivalent to the time-domain deconvolution but it transforms the problem of estimation with nonlinear functional equations in the time domain into one with linear parametric equations in the frequency domain, thus greatly facilitating the solution process. In Phase I, the proposed system concept will be refined and the enabling algorithms developed. We will perform a preliminary design of hardware subsystems and characterize the algorithms performance by means of analytic study and numerical simulation. In Phase II, the recommended architecture and the validated algorithms will be implemented in a breadboard prototype for demonstration.

Principal Investigator:

Chun Yang
Principal Scientist

Business Contact:

Chun Yang
Small Business Information at Submission:

113 Clover Hill Lane Harleysville, PA 19438

EIN/Tax ID: 233012783
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No