Dynamic tracking method of direction of arrival of coherent signals under impulsive noise environment

Abstract

The invention relates to a dynamic tracking method of the direction of arrival of coherent signals under an impulsive noise environment. The dynamic tracking method comprises the steps that signal sampling data are acquired; classifying unification preprocessing is conducted on a received signal data vector; a uniform linear array is divided into a plurality of subarrays; a received data vector undergoing spatial forward backward smoothing is substituted into a PASTA algorithm to obtain signal subspace; a MUSIC algorithm is used for processing the data of the signal subspace, and the direction of arrival of object signals is acquired through spectral peak searching; a t is made to be equal to t+1, the angle of the direction of arrival of the signals with corresponding the beat number is obtained until the maximum beat number is reached, and DOA dynamic tracking of coherent signal sources under the impulsive noise environment is achieved. According to the method, a projection subspace approaching tracking algorithm is used, the signal subspace of incident signals can be tracked in real time, then a MUSIC method is used for conducting precise detection on the direction of arrival of the signals, the robustness of the method is high, and the tracking effect is good.

Description

technical field [0001] The invention relates to a dynamic tracking method for a direction of arrival (Direction of Arrival, referred to as DOA) of a coherent signal in an impact noise environment. Background technique [0002] DOA estimation is an important research field in array signal processing, and has a wide range of applications in radar, passive sonar, seismology, satellite and mobile communication systems, etc. [0003] The traditional DOA algorithm is often aimed at a fixed source. However, in practical applications, the angle of the source will change with time. Therefore, the dynamic DOA tracking problem for the signal source whose incident angle changes with time is a spatial spectrum estimation theory. An important topic in application. In addition, the noise in reality is often very impactful, such as sea clutter noise, atmospheric noise, wireless channel noise, etc. Therefore, DOA tracking in the impact noise environment is an important topic in direction of...

AI Technical Summary

Problems solved by technology

When the signal sources are completely coherent, the rank of the covariance matrix of the array received data vectors is reduced to 1, which will cause the dimension of the signal subspace to be smaller than the number of signal sources, resulting in the steering vector of some coherent sources being different from the noise subspace Fully orthogonal, making it impossible to correctly estimate the direction of the signal source

Images