Haiming Du^1,*, Han Gao¹, Wenjing Jia²

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3907-3919, 2021, DOI:10.32604/cmc.2021.015969

Abstract This paper presents a novel scheme for joint frequency and direction of arrival (DOA) estimation, that pairs frequencies and DOAs automatically without additional computations. First, when the property of the Kronecker product is used in the received array signal of the multiple-delay output model, the frequency-angle steering vector can be reconstructed as the product of the frequency steering vector and the angle steering vector. The frequency of the incoming signal is then obtained by searching for the minimal eigenvalue among the smallest eigenvalues that depend on the frequency parameters but are irrelevant to the DOAs. Subsequently, the DOA related to… More >

Jiaqi Zhen^{1, *}

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 445-455, 2020, DOI:10.32604/cmc.2020.06385

Abstract In array signal processing, number of signals is often a premise of estimating other parameters. For the sake of determining signal number in the condition of strong additive noise or a little sample data, an algorithm for detecting number of wideband signals is provided. First, technique of focusing is used for transforming signals into a same focusing subspace. Then the support vector machine (SVM) can be deduced by the information of eigenvalues and corresponding eigenvectors. At last, the signal number can be determined with the obtained decision function. Several simulations have been carried on verifying the proposed algorithm. More >