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.

GMTI based on a combination of DPCA and ATI

Abstract: A novel algorithm is presented for SAR ground moving target indication (GMTI). This algorithm uses improved DPCA for a coarse indication and reformative ATI for a fine indication. First, a DPCA method is used to suppress the weak clutter, and it also involves the registration, compensation and subtraction of the image. Then, a finer ATI method is applied to detect the moving objects out of the pixels picked out by DPCA, and it involves the interferometry, and the suppression of the strong clutter. Facts prove that this algorithm can detect even the weak moving target well. In addition, this algorithm is automatic, that is, all thresholds are acquired from the signal. A series of test results from real field data of Institute of Electronics, Chinese Academy of Sciences shows the effectiveness of this algorithm.

Detecting moving targets in clutter in airborne SAR via keystoning and multiple phase center interferometry

Abstract: Without motion compensation, Synthetic Aperture Radar (SAR) images of the ground are generally blurred. In 1997, MITRE reported the development technique called the Keystone Process for removing the range migration caused by the radial velocity component of each pixel's movement within the scene, whether moving or stationary with respect to the ground. When applied to multiple phase center phased array radar data, this first pass process allows for automated detection of moving targets via phase thresholding. Once detected in phase space, the moving targets can be individually and automatically focused using the procedures previously reported. Automated positioning of the detected target within the formed image is then accomplished (georegistration). We can easily detect and accurately georegister bright (large radar cross-sections) moving targets using a phase threshold technique reported herein. However, we have found that, for smaller targets, the phase differences between the cells containing the moving target can be greatly distorted by the presence of strong ground clutter. Only after the ground clutter is cancelled will the phase difference be sufficiently dominated by the target response to allow accurate geopositioning. Herein we describe one technique whereby the clutter may be cancelled by using multiple phase centers.

Target tracker having target recognition means

Abstract: A monopulse radar system having automated target identification capability. first target recognizer, which can recognize a desired target by its radar signature, is used to improve direction finding performance by accurate placement and reduction in size of a receiver range gate. An additional target recognizing means is provided and allows integration of the return signal only if the signature of that return has been recognized as characteristic of the desired target.

CFAR detection and parameter estimation of moving marine targets using forward scatter radar

Abstract: In this paper we research one original structure of the CFAR detector and made a parameter estimation of the moving marine targets at the background of a sea clutter using Bistatic Forward Scatter Radar (FSR) system. The specific two pulse MTI CFAR processor with K/M-L batch processor and parameter estimator for a marine target with unknown size are investigated on the base of real data records. The data itself t have been gathered by the team of the Birmingham University using in-house developed FSR.