Moving target indication

About: Moving target indication is a research topic. Over the lifetime, 2653 publications have been published within this topic receiving 32435 citations.

Adaptive moving target indication in a windblown clutter environment

Abstract: The statistical properties of windblown grass and forest clutter, obtained using high-resolution microwave Doppler radar, are analyzed and shown to be nonstationary In particular, we show that the bandwidth of the Doppler signal depends linearly on the total power of the signal for both types of vegetation Also, variations in the mean power and spectrum bandwidth of the clutter are similar to the analysis time of existing radars The model of an adaptive moving target indication (MTI) notch filter is presented and evaluated It is shown that adaptive filtering significantly improves the efficiency of an MTI system

Learning-based space-time adaptive processing

Abstract: Space-time adaptive processing (STAP) has been used for many years in moving target indicator (MTI) radars to solve the problem of target detection in presence of an interfering environment. Over the years, different versions of STAP have been introduced to enhance its performance and overcome its practical difficulties. In this work, we introduce a new method for target detection and localization in which the need for a large homogenous target-free set of training range bins - which is traditionally used to estimate the interference covariance matrix - is reduced by the use of regression methods and pattern classification techniques to train over the 2D spatial-temporal space. It is shown that the proposed Learning-Based Space-Time Adaptive Processing (LBSTAP) technique not only reduces the need for a large, usually unavailable, homogenous target-free set of range bins, but also provides better performance in terms of Doppler side-lobe-level reduction.

On-demand simultaneous synthetic aperture radar (sar) and ground moving target indication (gmti) using mobile devices

Abstract: Methods and apparatus are provided for obtaining current geographic imagery and moving target geolocations and tracks from a typically autonomous remote platform device with sensors spanning the electromagnetic spectrum through a mobile device interface. An autonomous system is provided capable of interpreting high-level commands, measuring data using multiple sensors and processing the data to generate relevant data products which expedites the data measurement/processing procedure enabling field personnel to request and receive mission-critical intelligence in a timely manner.

Performance of order statistic clutter map CFAR

Abstract: Cell average clutter map CFAR (CACM-CFAR) is analyzed at first. CACM-CFAR has better performance in the inhomogeneous clutter environment, but is affected by interference and self-masking which will cause the low probability of detection. To solve these problems, a novel algorithm named order statistic clutter map CFAR (OSCM-CFAR) is proposed, in which the clutter map is updated by the k-th ranked cell in the clutter map cell. The performance analysis shows that the probability of detection for slow moving targets is increased by using the OSCM-CFAR algorithm. And the same case occurs in the multi-target environment when the new method is used.

Arrangement for radar signal processing in a Pulse-Doppler radar

Abstract: The arrangement for radar signal processing in a Pulse-Doppler radar contains a Doppler filter bank comprising a plurality of Doppler filters, at least some Doppler filters having variably adjustable filter weightings. A clutter detector identifies the intensity of the fixed clutter. According to the identified clutter intensity, the filter weightings of at least the moving-target filters adjacent to the clutter Doppler frequency spectrum are adjusted in such a way that the passbands of these moving-target filters are shifted further in the direction of the clutter spectrum in the case of low-intensity clutter than in the case of high-intensity clutter.