Location information field-based radiation source localization algorithm

Abstract

The invention discloses a location information field-based radiation source localization algorithm. The location information field-based radiation source localization algorithm comprises the following steps that: first step, correlation processing is performed on time segments of acquired data so as to extract time difference of arrival (TDOA) information; second step, grid points are arranged in an area; third step, a cost function is constructed, and the values of the cost function at each grid point in the rectangular area are solved; and fourth step, and a point where the value of the cost function is maximum in the area is selected as a target location. With the location information field-based radiation source localization algorithm of the invention adopted, limitations of the performance of an existing multi-station passive detection localization system can be eliminated, and fast and accurate localization of a target can be realized under non-vision-shared and multiple-target situations.

Description

technical field [0001] The invention belongs to an electronic reconnaissance system, and in particular relates to a radiation source positioning algorithm based on a position information field. Background technique [0002] Passive detection and positioning of radio radiation sources is widely used in military and civilian fields such as communication law enforcement monitoring, disaster search and rescue, and electronic reconnaissance. [0003] The existing multi-station passive detection and positioning technology first extracts the observations such as the arrival time difference, frequency difference, and direction of the radiation source signal, and then combines the position information of each observation station to realize the target position estimation by solving the positioning equations. This traditional approach has at least the following drawbacks: [0004] 1) Signal detection relies on traditional means, and most of them are based on single-station observation...

AI Technical Summary

Problems solved by technology

This constraint is often difficult to satisfy in many cases, for example, due to the large distance between stations or the radiation pattern of the transmitting / receiving antenna, there are significant differences in the signal strength of the radiation source arriving at each station. It is likely that some observation stations receive signals while some Some observatories do not receive signals

Due to the above reasons, the "common view" time of the system is short, only sporadic positioning results can be given, and even the positioning function cannot be realized at all, which greatly limits the practical application of the passive detection and positioning technology system, and has become a constraint for multi-station passive detection and positioning. The system further improves the bottleneck of the ability to adapt to the complex electromagnetic environment;

[0006] 3) In a complex signal environment, the positioning parameter pairing process is complicated, and the multi-target capability is poor

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