Two dimensional direction of arrival angle estimation method of electromagnetic signal

Abstract

The invention discloses a two dimensional direction of arrival angle estimation method of an electromagnetic signal, the two dimensional direction of arrival angle estimation method mainly solves the problems of slow reaction rate and large estimation error of the target reconnaissance and passive location caused by huge computation task of the two dimensional direction of arrival angle estimation in the prior art. The two dimensional direction of arrival angle estimation method comprises the following steps that even planar arrays are formed by the adoption of antenna receivers, echo signals of all antenna receivers are calculated, noise subspaces of the echo signals of the antenna receivers are calculated, a direction vector of the included angle of a y axis is obtained by plugging the included angle of an x-axis, which is made to be a fixed value, into an angle solving function, multiple sets of values are obtained through multiple times of computations, an amplitude spectra is generated by the adoption of multiple sets of values, the included angle of the x axis is obtained by seeking peak points of the amplitude spectra, and the included angle of the y axis is obtained through the least square method. By means of the two dimensional direction of arrival angle estimation method, the two dimensional direction of arrival angle estimation process is simplified into a one dimensional direction of arrival angle estimation process, the computation tasks are greatly reduced, the reaction rates of the target reconnaissance and passive location are improved, the parameter estimation error caused by delayed information can be avoided, and the method can be used for the quick target reconnaissance and passive location.

Description

technical field [0001] The invention belongs to the technical field of electromagnetic signal processing, and in particular relates to a method for estimating a two-dimensional direction of arrival angle, which can be used for target reconnaissance and passive positioning. Background technique [0002] Direction of Arrival Angle of Arrival (DOA) estimation is to use antenna signal arrays at different positions in space to receive electromagnetic signals from multiple signal sources in different directions, and use modern signal processing methods to quickly and accurately estimate the direction of the signal source. In radar, sonar, It has important application value in wireless communication and other fields. Two-dimensional direction of arrival estimation generally uses area array or vector sensors to estimate two-dimensional parameters. Most effective two-dimensional direction of arrival estimation algorithms are direct extensions of one-dimensional direction of arrival e...

AI Technical Summary

Problems solved by technology

Two-dimensional direction of arrival estimation generally uses area array or vector sensors to estimate two-dimensional parameters. Most effective two-dimensional direction of arrival estimation algorithms are direct extensions of one-dimensional direction of arrival estimation algorithms, and do not make full use of the array The multi-dimensional information carried in the received signal often has disadvantages such as excessive calculation or angle matching

The first method needs to use two-dimensional search, and its calculation amount is the square times of one-dimensional search, so the calculation amount is huge; the second method needs to use the angle pairing algorithm after completing the one-dimensional angle estimation respectively, and this process still needs to spend A certain amount of calculation, so these two methods have a large amount of calculation

In practical applications, both target reconnaissance and passive positioning need to be carried out on the basis of angle estimation. If the calculation amount of angle estimation is large, the response speed of target reconnaissance and passive positioning will be slow, and even cause large parameter estimation errors due to information lag.

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