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Increasing number of wireless applications and users has led to dearth of bandwidth for such applications. Static frequency allocation utilizes the spectrum inefficiently, fostering the requirement for dynamic spectrum allocation. One of such application of dynamic spectrum allocation is a Cognitive Radio. A Cognitive Radio senses and understands its radio environment, to recognize vacant spectrum and utilize it, hence leading to increased spectrum efficiency. In Cognitive radio networks, the secondary (unlicensed) user (SU) opportunistically exploits the radio spectrum, without causing intrusion to primary (licensed) user (PU). Therefore, Spectrum Sensing is a crucial step in a Cognitive Radio based systems. In this paper, we perform analysis of various Spectrum-Sensing techniques by performing simulations and plotting the curve between probabilities of detection (Pd) and signal to noise ratio (SNR). Based on the practical results, we conclude for the most suitable Spectrum Sensing technique in Cognitive Radio.