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.

Clutter reduction based on coefficient of variation in through-wall radar imaging

Abstract: In this paper, the coefficient of variation (CV), defined as the ratio of the standard deviation to the mean in statistics, is applied to through-wall imaging for clutter reduction. The received signals coming from a given point in the imaging scene are taken as the statistical samples of its corresponding pixel in the image. Then the CVs in three classes of pixels are examined: the target pixel, the clutter pixel, and the noise pixel. It could be observed that the CV in target pixel is much smaller than that in clutter pixel as well as in noise pixel. Taking advantage of this, each pixel in the image is weighted by the reciprocal of its CV. The corrected image shows that this approach can highlight the target pixels by suppressing the clutter and noise pixels. The effectiveness of this approach is validated using both simulation and real data.

Ship detection with spaceborne multi-channel SAR/GMTI radars

Abstract: This paper presents a new approach for detecting ships from a spaceborne multi-channel SAR/GMTI radar. The ship detection is based on a combination of conventional SAR processing and multi-channel SAR/GMTI processing. While large vessels with high RCS (Radar Cross Section) can be successfully detected with a single-channel SAR, small moving ships with low RCS are hidden by the sea clutter returns and can not be directly detected. Multi-channel adaptive processing like ISTAP (Imaging Space-Time Adaptive Processing) [1] or EDPCA (Extended Displaced Phase Center Antenna) [2] enables efficient cancellation of the interfering sea clutter and detection of the moving vessels.

Real-Time Space-Time Adaptive Processing on the STI CELL Multiprocessor

Abstract: Space-time adaptive processing (STAP) has been widely used in modern radar systems such as ground moving target indication (GMTI) systems in order to suppress jamming and interference. However, its baseband signal processing part usually requires huge amount of computing power. This paper presents the real-time implementation of an STAP baseband signal processing flow on the state-of-the-art STI CELL multiprocessor which enables the concept of software-defined radar (SDR). SIMD vectorization is applied to speed-up the kernel subroutines of STAP such as the QR decomposition, forward/backward substitution and fast Fourier transform (FFT). Benchmarking results of both the kernel subroutines and the overall flow are presented. Furthmore, based on the result of earlier benchmarking, optimized task partitioning and scheduling methods are proposed by us to improve the overall performance so that the overhead is reduced to the minimum.

An Improved Scattered Wave Deceptive Jamming Method Based on a Moving Jammer Beam Footprint Against a Three-Channel Short-Time SAR GMTI

Abstract: To effectively generate a verisimilar false moving target against a three-channel synthetic aperture radar ground moving target indication (SAR GMTI), a scattered wave deceptive jamming method performed by the time-delay modulation and the phase modulation (STP) is first proposed by using traditional deceptive jamming strategies. In addition, a novel three-channel short-time SAR GMTI method (TCSTSG) is heuristically inspired by the short-time Fourier transform (STFT) method and proposed with anti-jamming capacity. The procedure of the TCSTSG method is to divide the whole-time data into shorter segments, and each segment will be processed by displaced phase center antenna (DPCA) technique and along-track interferometry (ATI) technique. With the TCSTSG method, the moving target will have different positions in each segment. However, the false target generated by the traditional deceptive jamming method based on multiple jammers (DJ-MJ) and the STP method has the same position in each segment and a verisimilar false moving target cannot be generated. To meet this challenge, an improved scattered wave deceptive jamming method based on the moving jammer beam footprint (SMJBF) is proposed. Compared with the traditional scattered wave jamming methods, the improvement is that the jammer can control the azimuth position and velocity of the footprint. The position and velocity are calculated by comparing the detection results of the moving target and those of the false target with the TCSTSG method. Then the false target will be similar to the moving target. Finally, simulations are provided to verify the effectiveness of the proposed methods.