Real value rooting multiple signal classification method and system, computer equipment and application

Abstract

The invention belongs to the technical field of radars, and discloses an actual value rooting multiple signal classification method and system, computer equipment and application. The method comprises the following steps: carrying out dimension reducing treatment on received data; splicing a real part and an imaginary part of the received data in a low-dimensional space by using the non-circular characteristic of the signal to obtain real value received data with the number of virtual array elements doubled; constructing a new steering vector and a new noise subspace, and constructing a real coefficient polynomial according to the orthogonality of the new steering vector and the new noise subspace; and obtaining the estimation of the target orientation by solving the root of the real coefficient polynomial. The angle estimation precision of a subspace estimation algorithm can be greatly improved, the problem that the estimation precision of the subspace algorithm is insufficient under the condition that the signal-to-noise ratio is low and the number of snapshots is limited is solved, and a better reality scheme is provided for MIMO radar target angle estimation on occasions with low snapshots and the low signal-to-noise ratio. Meanwhile, the problem of calculation complexity is considered, and the real-time processing pressure of a radar system is relieved by jointly adopting a dimension reduction method and a real-valued method.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a real-valued root-finding multiple signal classification method, system, computer equipment and application. Background technique [0002] At present: multiple input multiple output (MIMO) radars use multiple transmitting antennas to transmit different waveforms, and simultaneously use multiple receiving antennas to simultaneously receive target reflected signals. Compared with traditional phased array radar, MIMO radar has more potential advantages in target detection, anti-jamming, target parameter estimation and target identification, etc., so it has received extensive attention from the academic community. [0003] Direction of arrival (DOA) estimation is an important content of MIMO radar parameter estimation. ESPRIT algorithm and MUSIC algorithm are classic high-resolution estimation methods based on subspace, and obtain DOA estimation of the target based on the...

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