An Amplitude and Phase Error Correction and Doa Estimation Method Based on Convex Optimization

Abstract

The invention belongs to the field of parameter estimation in array signal processing, and in particular relates to an amplitude and phase error correction and DOA estimation method based on convex optimization. It includes the following steps: (1) Do a DOA estimation on the data with amplitude and phase error interference; (2) Substitute the estimated angle into the constructed optimization model to obtain the estimated amplitude and phase error; (3) Iterate the first two steps until The estimated DOA and the amplitude and phase errors are obtained by convergence; (4) the meshes are refined for the estimated angle values ​​to reduce the influence of the mesh mismatch in step (1). Aiming at the phenomenon that the performance of the antenna array will be affected by environmental factors, the method adopts a certain method for the signal data received from the antenna, and performs blind correction on the amplitude and phase errors of the uniform linear array, which improves the accuracy of DOA estimation. The present invention can estimate the angle of the coherent signal source, and does not need auxiliary signal source and auxiliary array element, has certain universal applicability, and is especially suitable for amplitude and phase error correction of unknown signal coherence.

Description

technical field [0001] The invention belongs to the field of parameter estimation in array signal processing, and in particular relates to an amplitude and phase error correction and DOA estimation method based on convex optimization. Background technique [0002] DOA estimation has a wide range of applications in radar, sonar and wireless communications. However, in practical applications, due to the interference of environmental temperature, humidity, etc., the gain of the antenna array often changes inconsistently, which makes the measurement results have large deviations, resulting in inaccurate measurement results. At present, there are some DOA estimation methods for the presence of amplitude and phase errors, such as the covariance matrix least squares method, the maximum likelihood method based on subspace orthogonality, the use of auxiliary array elements, and the source correction method. However, these methods all have certain defects and deficiencies. For exampl...

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Problems solved by technology

The maximum likelihood algorithm is another important research content in super-resolution DOA estimation. Its estimation accuracy is higher, but its optimal solution usually requires the use of very complex multi-dimensional nonlinear search techniques, resulting in a very large amount of calculation. Real-time processing is not possible with the current hardware level

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