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Orthogonal matching pursuit (OMP) algorithm for the multiple measurement vectors (MMV) is a greedy method to find the sparse matrix with few nonzero rows that represents the measurement vectors under the sensing matrix. This paper analyzes the recovery performance of OMP for MMV (OMPMMV) in the bounded noise scenarios, and provides the sufficient conditions that are related to the sensing matrix and...
Cognitive communications has attracted a large interest during the last decade due to spectrum scarcity. In combination with multiantenna techniques, cognitive communications have the ability to increase spectral efficiency by enabling the coexistence of a primary and secondary systems. In this paper, we focus in two specific cognitive approaches: a) Multiantenna Interference Alignment (IA) and b)...
This paper is concerned with the performance of energy detection for spectrum sensing in cognitive radio. Both fading and shadowing are considered by assuming a Nakagami-lognormal composite channel model. Based on a newly-derived exponential integral representation for the generalized Marcum Q-function, performance analysis of energy detection is formulated as a unified moment generating function...
In passive localization systems based on the time difference of arrival, conventional methods usually take two steps for localization. In the first step the time differences of arrival (TDOA) are measured, which are used for localization in the second step. This two-step approach is suboptimal since each measurement of time difference is performed independently, although all measurements correspond...
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