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.

MIMO radar sparse angle-Doppler imaging for ground moving target indication

Abstract: We present in this paper a regularized sparse signal recovery algorithm, referred to as sparse learning via iterative minimization (SLIM), to provide ground moving target indication (GMTI) through multiple-input multiple-output (MIMO) radar angle-Doppler imaging. A slow-time modulation scheme with code division multiplexing is employed to achieve transmit diversity. In this way, we avoid the high correlation properties of orthogonal waveforms and the Doppler ambiguity that is encountered with Doppler division multiplexing schemes. After removing jammer and clutter effects using semi-unitary projections, we show that SLIM, using primary data only, is able to form sparse angle-Doppler images and to provide for accurate target localization.

Multistatic multihypothesis tracking: Environmentally adaptive and high-precision state estimates

Abstract: Multistatic active sonar has become an important surveillance concept. To fully exploit its benefits in a real-time and realistic scenario, a multihypotheses tracking (MHT) algorithm is proposed which as a extension from standard approaches allows high precision state estimation, treatment of multiple different types of sonar signals and allows adaptation to the highly instationary ocean environment. The algorithm is applied to two data sets gathered at sea trials conducted by NURC, and its performance is compared to the performance of the standard MHT approaches. In particular, the proposed treatment of the Doppler information, exploiting the Doppler notch of the reverberation, similarly to applications in moving target indication for ground surveillance, has led to a large performance gain.

Method and system for tracking targets in a pulse doppler radar system

Abstract: A medium to low PRF pulse doppler radar wherein the effect of the clutter notch filter is eliminated at times when the doppler frequency of the target approximates the doppler frequency of the clutter to continue tracking the target provided that the doppler frequency of the target and clutter are at different ranges.

Modeling and simulation for multistatic coherent MIMO radar

Abstract: Multiple input multiple output (MIMO) radar systems employ multiple transmit and receive elements with transmit elements that have the ability to transmit arbitrary waveforms simultaneously and receive elements that have the ability to process all of the transmitted signals jointly. For ground moving target indication (GMTI) systems, MIMO offers the potential to improve angular resolution and illumination time of the radar and therefore lower the minimum detectable velocity of moving targets. In this paper, we consider GMTI systems consisting of airborne platforms in configurations which include collocated transmit and receive elements on a single platform, distributed transmit/receive elements using multiple platforms, and hybrid arrangements. A multistatic coherent MIMO GMTI model is formulated that consists of multiple spatially distributed, moving, multi-element transmit and receive platforms that form multiple bistatic coherent MIMO pairs. Optimum and adaptive detectors are developed and performance is evaluated via simulation for the multistatic coherent MIMO system as well as each bistatic coherent MIMO pair. A clutter simulation methodology is presented that combines a realistic physics-based bistatic scattering model with a spherically invariant random vector (SIRV) random sample generator.

Wideswath synthetic aperture radar ground moving targets indication with low data rate based on compressed sensing

Abstract: Wideswath synthetic aperture radar/ground moving targets indication (SAR/GMTI) system increases severely data transmission and storage load. To mitigate this problem, a wideswath GMTI method based on compressed sensing (CS) is proposed. In this method, CS is utilised to process each SAR data sampled sparsely in the azimuth direction for multiple aperture systems after conventional range compression. Then the wavelet transform matrix is used to construct the sparse matrix. Each SAR image is unambiguously achieved by solving l 1 norm optimisation problem in the azimuth. The clutter rejection is performed for all spatial SAR images and then moving targets can be well detected. In this way, the data rate together with storage load is reduced, and then the wideswath GMTI can be efficiently realised. Results of real measured and simulated SAR data processing demonstrate the effectiveness of the CS-based wideswath GMTI.