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.

The moving target detector

Abstract: The paper presents a brief biographical note about the moving target detector (MTD) radar, the evolution from multiple antenna surveillance radar up to the designs to overcome the limitations of the existing moving target indicator radar

Apparatus for control of clutter breakthrough in MTI radar

Abstract: An apparatus for control of ground clutter breakthrough in MTI radar which remove hard limited clutter signals while allowing increased detection sensitivity to moving targets when such strong clutter returns are not present. Logic is provided to prevent the removal of strong moving target return even in the presence of hard limited clutter.

An approach for multiple moving targets detection and velocity estimation

Abstract: The purpose of range tracking and velocity estimating for multiple moving targets is to accurately track the location of the targets and their differential changes. In this paper, an approach for multiple moving targets detection and velocity estimation in radar is proposed. By using transformable periods and symmetrical LFM (TPS-LFM) waveform, multiple moving targets detection is possible. Since this radar waveform will increase the complexity of signal processing. To resolve this problem, an effective algorithm based on discrete match Fourier transform (DMFT) is proposed for chirp rate estimation and used to overcome the difficulty of parameter estimation for multiple moving targets. The signal model and the detection method are discussed and some simulations are performed. Theoretic derivation and computer simulations show that multiple moving targets can be easily detected with high range resolution and high velocity resolution, and under certain conditions, the false detections of unnecessary targets and failures to detect necessary targets, which used to be major problems in detection performance, can be substantively reduced. Its usefulness in multiple moving targets detection and velocity estimation in various radar, such as automotive collision avoidance radar (ACAR) and moving target indicator (MTI) radar, are confirmed.

Through-The-Wall Surveillance

Abstract: : This report describes the DRDC Ottawa research activities and major findings on through-the-wall surveillance, using ultra-wideband (UWB) short-pulse (SP) radars. These activities include both experiments and simulations. Off-the-shelf UWB radio frequency (RF) equipment was purchased to support experimental investigations. For simulations, a 3D computer model of a single room with a cubic, conducting target was developed. UWB radar located outside the room transmits short UWB pulses while the target is moved around the room in discrete steps. At the beginning of the section, we first show that motion detection is easy, since the radar echoes continuously change in time. However, simple motion detection does not provide enough information for most applications of interest. There is a clear requirement to measure the range and direction of the moving targets. Clutter from fixed objects interferes with the detection of moving targets. One way to suppress these fixed clutter is to use difference waveforms, obtained by subtracting echo waveforms from each other. The results of this report clearly show the detection of a moving target and suppression of fixed clutter. The next step is to determine the direction of the moving target. An antenna array combined with back-projection processing is used for that purpose. The simulated results clearly demonstrate that hidden targets can be tracked in both range and direction. These results have been confirmed experimentally.

Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft Using pMatlab and a Bladed Linux Cluster

Abstract: : The Lincoln Multifunction Intelligence, Surveillance and Reconnaissance Testbed (LiMIT) is an airborne research laboratory for development, testing, and evaluation of sensors and processing algorithms. During flight tests it is desirable to process the sensor data to validate the sensors and to provide targets and images for use in other on-board applications. Matlab is used for this processing because of the rapidly changing nature of the algorithms, but requires hours to process the required data on a single workstation. The pMatlab and MatlabMPI libraries allow these algorithms to be parallelized quickly without porting the code to a new language. The availability of inexpensive bladed Linux clusters provides the necessary parallel hardware in a reasonable form factor. We have integrated pMatlab and a 28 processor IBM Blade system to implement Ground Moving Target Indicator (GMTI) processing and Synthetic Aperture Radar (SAR) processing on board the LiMIT Boeing 707 aircraft. GMTI processing uses a simple round robin approach and is able to achieve a speedup of 18x. SAR processing uses a more complex data parallel approach, which involves multiple "corner turns" and is able to achieve a speedup of 12x. In each case, the required detections and images are produced in under five minutes (as opposed to one hour), which is sufficient for in-flight action to be taken.