Junxiao Song

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—Unimodular sequences with low autocorrelation are desired in many applications, especially in radar systems and code-division multiple access (CDMA) communication systems. In this paper, we propose a new algorithm to design unimodular sequences with low autocorrelation via directly minimizing the integrated sidelobe level (ISL) of the autocorrelation. The(More)
—In this paper, we consider an ℓ0-norm penalized formulation of the generalized eigenvalue problem (GEP), aimed at extracting the leading sparse generalized eigenvector of a matrix pair. The formulation involves maximization of a discontinuous nonconcave objective function over a nonconvex constraint set, and is therefore computationally intractable. To(More)
—Semidefinite relaxation (SDR) provides a computa-tionally efficient polynomial-time approximation of the maximum likelihood detector. However, most of the existing works mainly focus on particular signal constellations. In this paper, we propose a universal binary semidefinite relaxation scheme that can handle arbitrary signal constellations in polynomial(More)
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