Echo signal parameter estimation method based on scaled-down dictionary

Abstract

The invention belongs to the technical field of radar target echo signal parameter estimation, and discloses an echo signal parameter estimation method based on a scaled-down dictionary. The echo signal parameter estimation method based on the scaled-down dictionary comprises the following steps that 1, an initial parameter set {theta <(1)>} is obtained according to all unknown parameters corresponding to scattering centers in an echo signal model, the dictionary A (theta <(1)>) is formed through the initial parameter set {theta <(1)>}, and the number m of iteration times is set to be one; 2, a new parameter set {theta' <(m)>} is obtained by carrying out Bayes learning for the mth time according to the A (theta <(m)>); 3, if m is equal to M, the step 5 is carried out, or, the value of m increases by one and the step 4 is carried out; 4, a new parameter set {theta <(m)>} is obtained according to a refinement method for a parameter set {theta <(m-1)>}, a dictionary A (theta <(m)>) is formed through the parameter set {theta <(m)>}, and then the step 2 is carried out; 5, the number m* of iteration times meets the set condition and is found out; 6, weighting and clustering are carried out on{theta' <(m*)>} according to a K-means clustering method.

Description

technical field [0001] The invention belongs to the technical field of radar target echo signal parameter estimation, in particular to an echo signal parameter estimation method based on a scaling dictionary. Background technique [0002] When a radar emits an electromagnetic signal at a target, the electromagnetic signal is intercepted by the target and returned to the radar. The information obtained from the radar echo can reflect the characteristics of the target, and some information can be directly expressed by the parameters in the echo signal model. Therefore, by estimating the parameters of the echo signal model, we can obtain target information and analyze the target. For example, line spectrum estimation with unknown white noise observation data is widely used in target feature extraction in synthetic aperture radar imaging; time delay and amplitude estimation of aliased signals with known shapes are also very common in radar signal processing; target micro The f...

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Problems solved by technology

Although they can estimate the parameters in the echo to a certain extent, they use a fixed dictionary generated by a limited parameter set, and the redundancy of the dictionary (that is, the degree of traversal of parameters) directly affects the accuracy of parameter estimation. That is to say, when constructing a dictionary, the parameter setting interval is a problem that needs to be considered

If the setting interval of the initial parameters is too large, it is difficult to find the optimal atom and the corresponding parameters of the real echo signal; if the setting interval of the initial parameters is too small (that is, an over-complete dictionary), the calculation of parameter estimation will be very large , and it is not necessarily guaranteed that the dictionary contains the atoms corresponding to the real parameters

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