Multi-sensor multi-target location method based on imaging strategies

Abstract

The invention discloses a multi-sensor multi-target location method based on imaging strategies. According to the method, a sensor network is modeled to form a two-dimensional sparse array, the multi-target location problem based on the sensor network is converted into an imaging problem, and projection strategies like the BP algorithm are adopted to solve complex data association problems; the peak value of a three-dimensional image is searched for through the greedy algorithm, false targets are removed and multiple targets are located through the culling algorithm. Compared with a traditional multi-target location method, the method has the advantages that phase-coherent accumulation is carried out on multiple echoes of the targets from the point of imaging, and therefore the signal-noise ratio of the targets can be further improved, and the multiple targets can be conveniently and accurately calculated; multi-target location is conveniently achieved in an imaging space, and therefore the probability of multi-target location is increased.

Description

technical field [0001] The invention belongs to the technical field of multi-target positioning in a radar networking system, and particularly relates to the technical field of multi-target positioning under a sensor network. Background technique [0002] Compared with the traditional bistatic radar, the sensor network can obtain multiple bistatic delays of the target in a larger space range, which has great advantages in the field of military reconnaissance. Using these delays, by solving a non-linear distance equation for the target's position (similar in principle to a GPS system), we are able to locate the target within one pulse period, which is very useful for tracking tasks. However, due to the existence of multiple targets, noise and clutter, the sensor network must allocate the mixed delay of different targets including noise and clutter before positioning, that is, to complete the data association problem between the target and the sensor, so as to create a correct...

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Problems solved by technology

[0003] In order to overcome the problem of multi-target data association in the sensor network, the present invention proposes a multi-sensor multi-target positioning method based on imaging strategy, which is characterized in that the sensor network is modeled as a two-dimensional sparse array, so that the sensor-based The multi-target positioning problem of the network is transformed into an imaging problem, in which the schematic diagram of multi-target positioning based on imaging angle is as follows figure 1 As shown; using a projection strategy like the BP algorithm (that is, the back projection algorithm) is used to solve the complicated data association problem, and the schematic diagram of the BP algorithm is as follows figure 2 As shown; the greedy algorithm is used to search for the peak value of the three-dimensional image, and the elimination algorithm is used to remove false targets to locate multiple targets; compared with the traditional multi-target positioning method, the present invention can realize multi-target positioning in the imaging space and perform coherence on the echoes of the targets Accumulated to improve the signal-to-noise ratio, thereby increasing the probability of multiple target localization

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