Fast conjugate gradient direction finding algorithm without constructing covariance matrix
A technology of covariance matrix and conjugate gradient, applied in computing, complex mathematical operations, computer components, etc., can solve the problems of high complexity of CG algorithm, reduce computational complexity, etc., and achieve the effect of avoiding high-complexity problems
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[0083] The performance of the present invention is illustrated below by embodiment simulation:
[0084] Simulation conditions: Assuming a ULA formation with 10 array elements and an array element spacing of d=λ2, the direction of the two incident signals is θ 1 = 10° and θ 2 = 30°. In order to further evaluate the performance of the present invention, the number of Monte Carlo experiments is set to 500, and the root mean square error (Root Mean Square Error, RMSE) is used as an evaluation index.
[0085] Simulation content and results:
[0086] Simulation 1 compares the spectral peak search diagram of the present invention, MUSIC algorithm and CG algorithm, the results are as follows figure 2 shown.
[0087] figure 2 Set the initial reference signal as d in 0 =Xa(θ) / ||Xa(θ)||, where θ∈(-90°, 90°). It can be seen from the figure that the spatial spectral peak of the least squares CG algorithm is sharper than that of the classical CG algorithm and the MUSIC algorithm, a...
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