CONSTRAINED TRILINEAR DECOMPOSITION WITH APPLICATION TO ARRAY SIGNAL PROCESSING
作者： Xu Liu , Ting Jiang , Longxiang Yang , Hong-Bo Zhu
DOI: 10.2528/PIER12031410
关键词:
摘要: This paper links the constrained trilinear tensor model into array signal processing. The structure properties of baseband signal, such as Constant-Modulus (CM) and Finite Alphabet (FA) structures which are already known in receiving array, exploited decomposition. Two novel algorithms for decomposition proposed applied to distinguishing features compared traditional processing methods are: (i) has a better performance lower computation complexity. (ii) it can still work well even if degeneracy factors involved data model, is not valid algorithms. Simulation results presented illustrate application evaluate DOAs estimation.
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