Method and system for radar tracking of moving target from moving station

Abstract

A method and system is proposed for use by a moving station (such as a jetfighter) for radar tracking of a moving target (such as an air-to-air missile). The proposed method and system involves the use of a hybrid FSK/LFM (Frequency Shift Keying & Linear Frequency Modulation) scheme for acquiring a collection of raw radar data, a first Gaussian-noise filter array of one-stage linear Kalman filters for S/N-enhancement of the raw radar data, a trilateration module, and a second Gaussian-noise filter array of one-stage linear Kalman filters for S/N-enhancement of the trilateration-resulted radar data. These features allow the radar tracking of moving objects to be more fast and accurate.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention[0002]This invention relates to radar technology, and more particularly, to a method and system for radar tracking of a moving target (such as an air-to-air missile) from a moving station (such as a jetfighter) with improved accuracy and performance.[0003]2. Description of Related Art[0004]A radar system is a radio-based surveilance system that uses electromagnetic waves to identify the range, altitude, direction, or speed of moving or fixed objects such as aircraft, ships, and motor vehicles. In operation, a radar system is capabale of emitting a beam of radio wave toward the area under surveilance, and if a target exists in that area, the emitted radio wave will be reflected back. The reflected radio wave is then received by the radar system and analyzed to determine the position, speed, and acceleration of the target.[0005]Radar systems are categorized into ground-based type and airborne type. The airborne-type radar syste...

AI Technical Summary

Benefits of technology

[0013]The method and system for tracking moving target from moving station according to the invention is characterized by the use of a hybrid FSK / LFM (Frequency Shift Keying & Linear Frequency Modulation) scheme for acquiring a collection of raw radar data, a first Gaussian-noise filter array of one-stage linear Kalman filters for S / N-enhancement of the raw radar data, a trilateration module, and a second Gaussian-noise filter array of one-stage linear Kalman filters for S / N-enhancement of the trilateration-resulted radar data. These features allow the radar tracking of moving objects to be more fast and accurate.

Problems solved by technology

One drawback to the aforementioned radar system, however, is that the hybrid FSK / LFM sensor is only capable of detecting the range and speed of the target, and incapable of detecting the acceleration.

One drawback to the trilateration process, however, is that it would undesirably degrade the S / N (signal-to-nose ratio) of the original radar data.

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