Multipath mitigation filter

Data processing: measuring – calibrating – or testing – Measurement system – Measured signal processing

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C702S189000, C702S190000, C702S194000, C702S195000, C342S148000

Reexamination Certificate

active

06772100

ABSTRACT:

BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention pertains to remote sensing, and, more particularly, to the employment of a multipath mitigation filter in such applications.
2. Description of the Related Art
FIG. 1
depicts a classic example what is known as a “multipath” condition giving rise to a “multipath” error such as is addressed by the present invention. “Multipath” describes the condition where more than one path exists for the propagation of signals, such as electromagnetic or acoustic signals. Consider the generic radar scenario illustrated in
FIG. 1. A
radar illuminates an object and measures the signal energy, which returns by four different paths. A portion of the energy is:
directly transmitted to the object and returns from the object along the path R→O→R;
directly transmitted to the object and returns indirectly by bouncing off the ground along the path R→O→R;
indirectly transmitted to the object by bouncing of the ground and returns directly to the object along the path R→G→O→R; and
indirectly transmitted to the object by bouncing off the ground and returns indirectly by bouncing off the ground along the path R→G→O→G→R.
Each path has a different time-delay and different signal attenuation. Under the proper conditions, the direct signal and the indirect signal(s) interact. Exemplary factors defining “proper conditions” include primarily object altitude, radar height, object-to-radar range, radar wavelength, radar beam width, and terrain type, although there are others. This phenomenon is also encountered in applications employing other kinds of energy, e.g., remote sensing applications employing sonar, synthetic aperture radar, sonograms, CAT scans, PET scans, etc.
The interaction can result in reinforcement or cancellation of the returned signals. In either case, the multipath conditions introduce error. This is sometimes referred to as “interference” since the reflected signals interfere with one another, but is also sometimes referred to as “distortion.” If the returned signals are in phase, the interference is constructive. If out of phase, the interference is destructive and degrades the quality of the radar's measurements significantly. In particular, monopulse tracking radars suffer severe multipath induced elevation measurement errors. And, when the conditions are just right, the received radar signals can completely cancel each other.
For a ground-based radar, multipath is encountered tracking low-altitude objects. The primary manifestations are low signal-to-noise ratio at the radar's receiver, very noisy measurements, and large elevation errors. More particularly, a track from a radar experiencing multipath distortion may be biased up or down and be noisy. The multipath problem is worse for a sea-based radar because salt water, being electrically conductive, reflects radar signals like a mirror. The direct and indirect returns can destructively interfere such that a very low power signal is received by the radar during an extended period of time. Consequently, the measurement noises increase during the presence of multipath and in some cases, the radar may even lose track because the object “fades away.” In other words, the returned signal level drops below the receivers' detection level.
Multipath detection can be accomplished in monopulse radars by processing the monopulse elevation quadrature signal. However, in many applications, monopulse quadrature signals are not available, and an alternate multipath detection scheme is needed.
The present invention is directed to resolving, or at least reducing, one or all of the problems mentioned above.
SUMMARY OF THE INVENTION
The invention is a technique for estimating the position of an object from return signals in the presence of multipath conditions. In its various aspects, the invention is manifested as a position estimator; a method for estimating the position of a object from returned signals; a program storage medium encoded with instructions that, when executed, perform such a method; and a computing device programmed to perform such a method. The position estimator, in one embodiment, comprises a signal filter, a multipath detector, and a multipath bias estimator. The signal filter is capable of receiving a sensor measurement and generating a measurement noise variance estimate and a position estimate therefrom. The multipath detector is capable of applying a dynamic threshold against the measurement noise variance estimate to determine whether a multipath condition exists. And, the multipath bias estimator is capable of generating a correction for multipath induced measurement bias error from a measurement noise variance estimate for application upon determining that a multipath condition exists. The method includes filtering the sensor measurement with a measurement noise variance estimator to yield a measurement noise variance estimate; comparing the estimate against a dynamic threshold to detect whether a multipath condition exists; determining a correction for a multipath induced measurement bias error from the estimate if the multipath condition is detected; and applying the correction to the estimation of the object's position.


REFERENCES:
patent: 2003/0081659 (2003-05-01), Yousef et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Multipath mitigation filter does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Multipath mitigation filter, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multipath mitigation filter will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3346074

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.