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MIMO radar target blind detection method based on characteristic values under correlated noise background

A technology of correlated noise and radar targets, applied in the field of blind detection of MIMO radar targets, which can solve the problems of insufficient snapshots and degradation of target detection performance.

Active Publication Date: 2015-02-18
JILIN UNIV
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Problems solved by technology

[0008] The present invention provides a blind detection method for MIMO radar targets based on eigenvalues ​​under the background of correlated noise, so as to solve the current problem of target detection performance degradation under the background of insufficient snapshots and correlated noise

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  • MIMO radar target blind detection method based on characteristic values under correlated noise background
  • MIMO radar target blind detection method based on characteristic values under correlated noise background
  • MIMO radar target blind detection method based on characteristic values under correlated noise background

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Embodiment Construction

[0068] figure 1 It is a system model of bistatic MIMO radar. M transmitting array elements transmit signals to illuminate the target at the same time, and the echo signals are comprehensively processed by N receiving array elements at the receiving end.

[0069] The N receiving array elements at the receiving end of the MIMO radar collect and process the echo data signals obtained by multiple snapshots. When there is a target in the radar detection area, the echo data during the first snapshot can be written as an N×K matrix:

[0070] X ( l ) = a r ( φ ) β ( l ) a t H ( θ ) S + Z (...

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Abstract

The invention provides an MIMO radar target blind detection method based on characteristic values under a correlated noise background. The method is suitable for large-array bistatic MIMO radar with the receiving and transmitting number of array elements and the snapshot number being close. The method comprises the steps that a random matrix theory is used as a tool, the defects that in the prior art, the snapshot number is insufficient and the target detection performance under the correlated noise background is lowered are overcome, and a random matrix model of observation data is established by echo signals under the correlated noise background; the ratio of the maximum characteristic value and the minimum characteristic value of an echo data covariance matrix is calculated to be used as the detection statistical magnitude; the freedom probability theory and Stieltjes conversion are used for deriving a threshold value expression of target detection under the correlated noise background; the threshold value is used as a judgment threshold for detecting a target. Simulation experiments show that the method is suitable for blind detection under the condition that a noise variance and a target scattering matrix are unknown, and the robustness of target detection under the correlated noise environment is obviously improved.

Description

technical field [0001] The invention belongs to the field of MIMO radar target detection; relates to a large-array MIMO radar system with the number of transmitting and receiving array elements close to the number of snapshots; relates to the target detection of bistatic MIMO radar under the background of correlated noise; especially relates to the unknown situation of noise variance and target scattering matrix Blind detection of targets under MIMO radar. Background technique [0002] The original meaning of radar is "radio detection and ranging", that is, to use radio methods to find targets and determine their spatial positions; MIMO radar is a new system radar proposed in recent years, which consists of multiple transmitting arrays and multiple receiving arrays , multiple transmitting antennas are used to simultaneously transmit mutually orthogonal signals to irradiate the target, and then multiple receiving antennas are used to receive target echo signals, which signifi...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 姜宏李垠吕巍莫秀玲周二宁祁晗韩金梦段宏宇
Owner JILIN UNIV
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