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 rejection for MTI radar using a single antenna and a long integration time

Abstract: Moving Target Indicators (MTI) are airborne radar systems designed to detect and track moving vehicles or aircrafts. In this paper, we address the problem of detecting hazardous collision targets to avoid them. One of the best known solutions to solve this problem is given by the so-called Space-Time Adaptive Processing (STAP) algorithms which optimally filter the target signal from interference and noise exploiting the specific relationship between Direction Of Arrival (DOA) and Doppler for the ground clutter. However, these algorithms require an antenna array and multiple reception channels that increase cost and complexity. The authors propose an alternative solution using a single antenna only. In addition to the standard Doppler shift related to the radial speed, the orthoradial speed of any target can be estimated if using a long integration time. Dangerous targets and ground clutter have different signatures in the radial-orthoradial velocity plane. An optimal detector is then proposed based on the oblique projection onto the signal subspace orthogonal to the clutter subspace. The theoretical performances of this detector are derived and a realistic radar scene simulation shows the benefits of this new MTI detector.

A distributed object-oriented multi-mission radar waveform design implementation

Abstract: This paper furthers the development of Genetic Algorithms (GAs) and their application to the design of multi-mission radar waveforms. An application was developed with the goal of developing a waveform suite that finds the Pareto optimal solutions to a multi-objective optimization radar problem. Utilizing the Strength Pareto Evolutionary Algorithm 2 (SPEA2) a series of radar parameters are optimized along the fitness metrics of interest. This implementation builds upon the previous work of [1] to develop an application that is capable of analyzing longer more realistic scenarios. It also advances the previous research by solving for the Pareto optimal front of a simultaneous Synthetic Aperture Radar (SAR) and Moving Target Indication (MTI) mission. These preliminary results are presented to validate the performance of the new application against previous work and introduce some results of the multi-mission radar suite.

Small ship detection with high frequency radar using an adaptive ocean clutter pre-whitened subspace method

Abstract: We propose a novel scheme for using high frequency ocean surveillance radar (HFOSR) to detect slow weak target echoes embedded in temporally correlated sea clutter having a continuous spectrum. General Doppler processing CFAR detection of ships in ocean surveillance radar is usually inhibited by the continuous high order sea clutter. Conventional subspace methods can be utilized to enhance the detection, but they deteriorate dramatically in the presence of correlated sea clutter. In our paper an adaptive sea clutter filtering is introduced which improves the threshold and accuracy of the subspace detection method. Both simulated and real ship targets are used to verify the effectiveness of our proposed method.

Tracking the moving sound target based on distributed microphone pairs

Abstract: The algorithm of tracking and localizing a single rapid moving sound target, based on distributed microphone pairs, is presented in this paper. The time-delay-difference values of each microphone pair can be estimated by the methods of generalized cross-correlation. And then, the distance difference between target and the microphone pair can be calculated. When the target is in the far field of the microphone pair, the target's direction of arrival can be gain. However, the error of the angle is determined by the sample frequency, interval of microphone pair, and precision of time delay difference. Therefore, it is difficult to gain the acceptable position parameter of the target by the multi-angles of multi-microphone pairs. A search method is presented by multi-distance difference between target and the microphone pairs in this paper. Tens microphone pairs are placed in one area with 500*500 meters in the simulation. The target's trajectory is a haphazardly curved path, and its linear speed is about 20 meter per second. The coordinate error is less than 10 meters. The results of the simulation show the algorithm is effective and has high performance.