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A precise positioning of transmitting nodes enhances the performance of Cognitive Radio (CR), by enabling more efficient dynamic allocation of channels and transmit powers for unlicensed users. Most localization techniques rely on random positioning of sensor nodes where, few sensor nodes may have a small separation between adjacent nodes. Closely spaced nodes introduces correlated observations, effecting the performance of Compressive Sensing (CS) algorithm. This paper introduces a noveldoi:10.4108/eai.5-4-2016.151145 fatcat:jkjaf6zi75e3vmzlketlboxwwu