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.

Microwave motion detectors utilizing multi-frequency ranging and target angle detection

Abstract: A method of detecting a moving target within a predefined protected region with a microwave motion detector, by transmitting microwave frequency signals and receiving the microwave frequency signals reflected by a target. A target distance is then determined from the received microwave frequency signals, and a target angle is determined from the received microwave frequency signals. Then, a target location is determined from the target distance and the target angle, and an alarm condition is set if the target location is within the predefined protected region.

Adaptive mti clutter filter

Abstract: A system for enhancing AMTI radar target velocity (Doppler) visibility in reduced clutter to noise environment by utilizing MTI filters selectively coupled into the system whose rejection characteristic is chosen as a function of clutter amplitude level as well as bandwidth whereby excessive signal rejection is not introduced with consequent target invisibility.

The Earth rotation effect on a LEO L-band GMTI SBR and mitigation strategies

Abstract: Space based radars (SBR) have been used to accomplish a number of civilian and military missions. Most recently, SBR concepts have been considered to perform ground moving target indication (GMTI) radar modes. Unlike airborne surveillance platforms, SBR clutter returns are affected by the high satellite velocity and Earth rotation. The phenomenology of the Earth's rotation, and its impact on clutter Doppler returns, are discussed for a Low Earth Orbit (LEO) L-band radar concept. The USA Air Force's Research Laboratory Space Time Adaptive Processing Tool (RLSTAP) high fidelity radar modeling tool is used to provide simulated data in order to demonstrate the Earth rotation effects, and resulting clutter rejection impact on slow moving target detection.

Range-Dependent Clutter Suppression for Airborne Sidelooking Radar using MIMO Technique

Abstract: Range-dependent clutter suppression is an important issue in airborne bistatic radar moving target detection. Range-dependent clutter suppression using the multiple-input multiple-output (MIMO) technique is investigated. By employing the MIMO technique, the clutter ridges of all range bins are located in the same plane of the three-dimensional (3D) space. Moreover as long as the sum of the target radial velocities relative to the transmitter and the receiver is unequal to zero, the target will not be located in this plane. Thus clutter suppression can be realized by a 3D linear constrained minimum variance (LCMV) filter. In high clutter-to-noise (CNR) cases, the presented technique yields better performance than the conventional bistatic sidelooking phased-array radar. Numerical examples are given to demonstrate the effectiveness of the presented technique.

Optimum relative speed discretisation for detection of moving objects in wide band SAR

Abstract: Here, Ground moving target indication (GMTI) using synthetic aperture radar (SAR) is considered. SAR GMTI requires that relative speed between the target and the SAR platform is included in the detection algorithm. A separation between the true relative speed and the relative speed used in the SAR process will cause unfocused targets, and decrease detectability. Blind hypotheses of relative speeds are used in the detection phase of moving targets in SAR. The step size between the hypotheses (or discretisation step) in relative speed involves a trade off between the number of hypotheses to test and detectability. A large number of tests will increase detectability but will also increase computation load and vice versa. The relevance of relative speed increases as the azimuth integration time gets larger. Long integration time is associated with low signature moving target detection in strong clutter environments, or for SAR GMTI at low frequencies. The optimum discretisation of normalised relative speed for moving target detection has been determined. The optimum discretisation is derived from the moving target impulse response. Use of optimum discretisation reduces the computation burden in SAR GMTI and secures the detectability.