5 results about "Bistatic mimo radar" patented technology

The application relates to a bi-static MIMO radar correction distance deviation method based on algebraic analysis, which comprises the following steps: obtaining a target echo signal of a bi-static MIMO radar; making a receiving beam point to a target according to a known target receiving angle, selecting an arbitrary angle of a transmitting beam to point to, sequentially performing receiving beam forming and pulse synthesis processing on the target echo signal to obtain an initial pulse synthesis output signal; calculating and correcting a time difference according to a spatial phase deviation caused by the transmitting beam pointing to a target transmitting angle, to obtain a corrected time difference; calculating a distance difference according to a difference between the initial pulse synthesis output signal and a sum of a real distance and the target; calculating a target transmitting angle according to an algebraic expression of the corrected time difference and the distance difference and the corrected time difference and the distance difference; and calculating a real position of the target by using the target transmitting angle. The method simplifies a traditional bi-static MIMO radar signal processing flow, reduces an operation amount, and has stable target detection performance.

This invention discloses a centralized array partial amplitude and phase error self-correction angle estimation method, comprising: constructing a received signal model for a bistatic MIMO radar array where some array elements of the transmitting and receiving arrays have amplitude and phase errors; performing identity transformations on the steering vector matrices of the receiving and transmitting arrays respectively to obtain the rank-loss intermediate matrices of the receiving and transmitting arrays; obtaining the estimated value matrices of the steering vector matrices of the receiving and transmitting arrays by performing PARAFAC decomposition on the radar received signal model; performing eigenvalue decomposition on the covariance matrix of the estimated value matrices to obtain the noise subspace corresponding to the received signals of the receiving and transmitting arrays; obtaining the estimated values ​​of the amplitude and phase error vectors of the receiving and transmitting arrays using the relationship between eigenvectors and eigenvalues; constructing a spectral peak function using the estimated values ​​of the amplitude and phase error vectors of the receiving and transmitting arrays, obtaining the 2D-DOD estimate and the 2D-DOA estimate through two-dimensional space search, and performing target pairing based on the maximum likelihood function.

The application provides a low-complexity target DOD-DOA and Doppler frequency joint estimation algorithm based on space-time nested sampling, and the joint estimation algorithm comprises the following steps: step 1: configuring a bistatic MIMO radar system into a space-time nested sampling model, and sampling a received signal {x q (l)} by using the space-time nested sampling model; q Step 2: performing multi-stage delay sampling on the received signal {x q (l)} to obtain {y(l)}; step 3: performing matched filtering on the received signal {y(l)} to obtain {y(t)}; step 4: solving a target echo signal covariance matrix R; step 5: vectorizing and de-redundantizing the target signal covariance matrix, and obtaining a new observation signal according to the obtained observation signal; step 6: performing three-dimensional Toeplitz matrix iterative reconstruction on the new observation signal to obtain an equivalent covariance matrix R xx in a virtual domain; and step 7: solving DOD-DOA and Doppler frequency parameters of the target by using an improved multi-dimensional ESPRIT algorithm.

The application discloses a target parameter estimation method based on a bounded nonlinear function in an impulsive noise environment and belongs to the technical field of radar signal processing. The bounded nonlinear function, that is, a Sigmoid function, is used for suppressing an Alpha stable distribution noise, a target function based on a TALS criterion in a PARAFAC algorithm is modified based on the bounded nonlinear function so as to be applicable to the impulsive noise environment, a PARAFAC algorithm based on the bounded nonlinear function is derived, the algorithm is applied to target parameter estimation of a bistatic MIMO radar, joint estimation of target parameters is realized, and automatic pairing can be realized.

This invention discloses a centralized array amplitude and phase error angle estimation method, comprising: for a bistatic MIMO radar array, modeling the received signals with amplitude and phase errors for all elements of the transmitting and receiving arrays; moving the receiving and transmitting arrays to obtain the steering vector matrices of the transmitting and receiving arrays before and after the movement; obtaining the estimated values ​​of the steering vector matrices of the transmitting and receiving arrays before and after the movement by performing PARAFAC decomposition on the received signals before and after the movement; constructing the synthetic steering vector matrix of the transmitting and receiving arrays; performing row transformations on the rows with equal amplitude and phase error coefficients in the synthetic steering vector matrix of the transmitting and receiving arrays to construct the transformed synthetic steering vector matrix; then performing matrix identity transformations on the column vectors corresponding to each target to obtain the rank-loss intermediate matrix of the transmitting and receiving arrays and the amplitude and phase error coefficient vector; constructing a spectral peak function, obtaining the 2D-DOD estimate and the 2D-DOA estimate through two-dimensional space search, and performing target pairing.