Sentence examples for moving target detecting from inspiring English sources

For improving detection performance of a moving target detecting (MTD) radar system, slow-time ambiguity function (STAF) is defined, and the proposed algorithm is presented to optimize the range-Doppler response.

Additionally, it is known that a moving target detecting (MTD) radar system is designed to observe the target in range-Doppler bins [6].

Black means no moving targets detected, while white regions are images of detected targets after morphological closing operation [20].

In [10], a time domain, moving target detection processing formulation for detecting human motion behind walls was presented with consisting of exponential averaging background subtraction, ordered statistics constant false alarm rate detection and binary accumulation.

A moving target is detected from the difference of the mixed flow and the ego-motion flow.

The underlying idea of our approach is to subtract the motion of the camera (ego-motion) from the calculated (mixed) optical flow, that is, a moving target can be detected from the difference between the mixed optical flow and the ego-motion optical flow.

Space-time adaptive processing (STAP), a two-dimensional space-time adaptive filtering operation, is an effective and important technique which is widely used in airborne or spaceborne radar for detecting moving target in strong clutter background [1 4].

For each detected moving target in the SAR image, a slice which covers all the range bins that the moving target occupies is cropped.

A new scheme is presented to estimate the range and azimuth velocity components of a detected moving target by using a dual-frequency synthetic aperture radar (SAR).

STAP is a technique used in airborne phased array radar to detect moving target embedded in an interference background such as jamming (jammers are not considered in this paper) or strong ground clutter [20] plus a white Gaussian noise (resulting from the sensor noise).

The moving targets are detected correctly.