Angle estimation algorithm for mimo radar based on tensor quantum space and spectral peak search

Abstract

The invention discloses an MIMO radar angle estimation algorithm based on tensor space and spectral peak search. Through building a three-order tensor model for receiving data, a higher order covariance tensor model for tensor data is further built, and the internal correlation structure of array signals is fully dug; HOSVD (Higher Order Singular Value Decomposition) is then carried out on the tensor data, new signal subspace is built, and high-precision noise subspace is thus acquired; and finally, the orthogonality properties between a steering vector and the noise subspace are used for spectral peak search to acquire a paired DOD (Direction of Departure) and DOA (Direction of Arrival), and further pairing calculation is not needed. According to the MIMO radar angle estimation algorithm, the internal correlation structure of received signals is used, GPE does not need to be estimated firstly, the angle estimation precision is higher, the reliability is stronger, the target DOD and the DOA which are more accurate can be acquired, and more reasonable reference is further provided for related processing on detection targets.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to a MIMO radar angle estimation algorithm based on tensor quantum space and spectral peak search. Background technique [0002] MIMO radar is the development direction of next-generation radar. Compared with traditional phased array radar systems, MIMO radar has potential advantages in terms of resolution, anti-fading, recognizability, and noise suppression. According to the different configurations of MIMO radar transceiver elements, MIMO radars can be divided into two categories: statistical MIMO radars and co-located MIMO radars. Among them, the statistical MIMO radar sampling distributed transceiver array configuration can effectively suppress the scintillation effect of the target; the transmitting array element and receiving array element in the co-located MIMO radar are often close to each other, and this radar can obtain high-precision target orientation information....

AI Technical Summary

Problems solved by technology

However, RD-MUSIC ignores the internal multidimensional structure of the array received signal, and its parameter estimation performance still needs to be improved

Although PARAFAC-Like utilizes the multi-dimensional structure of the array signal, it first obtains the estimation of GPE, and the error of GPE estimation has a cumulative effect, especially under the condition of low signal-to-noise ratio, the error of angle estimation is particularly large

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