Target movement situation information data association strategy-based target tracking method

Abstract

The invention discloses a target movement situation information data association strategy-based target tracking method. The method includes the following steps that: step 1, the track of a target to be selected is created; step 2, tracking processing is carried out on the track of the target to be selected, a reasonable track of a formal target is established according to a target starting condition; and step 3, a Kalman filtering model is used to carry out filtering estimation processing on the tracks of a tracked target and the formal target, so that a track state estimation value can be obtained, the time to closest point of approach (TCPA) of the tracked target and the formal target is calculated according to a ship collision avoidance radar measurement model and a TCPA value is compared with a target separation time threshold, a target approach time threshold and a target overlap time threshold, so that the movement state information of the targets can be obtained; and step 4, and the association strategy and associated algorithm of the trace points and tracks of the tracked target are determined according to the movement state information of the targets, and the association relation of the tracked target and the trace points can be obtained.

Description

Technical field [0001] The invention belongs to radar target tracking technology, and particularly relates to a target tracking method based on a target movement situation information data association strategy. Background technique [0002] The data association process is the process of determining the corresponding relationship between the measurement information received by the sensor and the target source, which runs through the target start, target maintenance and target end processes. At present, data association algorithms commonly used in engineering include two categories. The first category is to study the latest measurement collections. For example, Singer and Sea proposed the optimal proximity algorithm. The basic principle selects the trace closest to the target predicted position as Association point. When the target signal-to-noise ratio is high or the target is sparse, the tracking effect of this algorithm is better. The low-resolution radar has a wide detection ...

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Problems solved by technology

However, the number of hypothetical track branches generated by the MHT algorithm has an exponentially rising relationship with the false alarm rate, the number of targets, and the number of multiple scan cycles processed. Therefore, the calculation and storage of the algorithm are very large. There are still some difficulties in sea radar target tracking engineering

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