Track-before-detect method based on flight path inspection

Abstract

The invention discloses a track-before-detect method based on a flight path inspection. The method comprises the following steps: receiving multiple frames of echo pulse of a target by radar, and exhausting all flight paths among the multiple frames of target echo; performing the flight path inspection on each flight path by using a set target movement model according to a regression analysis method, screening out the flight path in constant speed and constantly accelerated motion from all the flight paths; performing the energy accumulation on all flight paths subjected to the flight path inspection, then selecting the maximum energy accumulation value to compare with a threshold to obtain a detection result. The method can obtain the trajectory with the constantly accelerated or constant speed motion characteristic, the trajectory is approximate to the real trajectory; therefore, the accuracy of flight path acquisition is improved, and the TBD (track-before-detect) tracking performance is improved.

Description

Technical field [0001] The present invention relates to the technical field of radar signal processing, in particular to a pre-detection tracking method based on track inspection, and is particularly suitable for the situation where a target exists in a relatively strong noise or clutter background. Background technique [0002] In modern high-tech warfare, in order to allow more preparation time for the command and control system, the detection system is required to detect the target at a long distance as soon as possible. Only by discovering, tracking and locking the target in time can the attack be effectively carried out. However, in the monitoring process of low observable targets, it is difficult to find the target due to the low signal-to-noise ratio of the target signal in the sensor observation. Therefore, exploring and studying the theory of weak target detection and tracking is an important topic, which has far-reaching significance to the pattern of modern warfare an...

AI Technical Summary

Problems solved by technology

[0006] The exhaustive TBD method (I-TBD) exhaustively enumerates all possible tracks between data frames and performs energy accumulation. This method not only calculates a large amount of data and is slow in speed, but also under the condition of low signal-to-noise ratio, the detected The track is very different from the real track, making the detection performance poor

The TBD dynamic programming method (DP-TBD) method performs point-track correlation based on prior velocity information and amplitude information, and finally obtains M search tracks. In the case of low signal-to-noise ratio, the search track may not contain the real track of the target. , the performance analysis shows that the tracking performance of the DP-TBD method is poor, which also affects the detection performance

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