MIMO (Multiple input –Multiple Output) technology is a promising and upcoming technology for the future wireless generation system, as it has got high throughput and diversity gain. MIMO makes antennas work smarter by enabling them to combine data streams arriving from different paths and at different times to effectively increase receiver signal-capturing power. MIMO is used in modern wireless standards, including in IEEE 802.11, 3GPP LTE, and mobile WiMAX systems.Sphere decoding algorithm is a lattice reduction algorithm introduced for low complexity MIMO detection SD is a powerful and attractive tool to achieve a high performance close to the Maximum Likelihood (ML),Zero Forcing (ZF) but with less complexity. This paper presents a simulation study on the sphere decoding method and compares the performance with other classical MIMO scheme such as VBLAST and Zero forcing receivers. The simulation tool used is MATLAB communication tool box version 7.1. The performance metric considered is Bit Error Rate (BER) and the channel is assumed to be Rayleigh fading. It is inferred that detection is possible with complexity and gives a better result in terms of Bit Error Rate when comparing general sphere decoding and MMSE.
">MIMO (Multiple input –Multiple Output) technology is a promising and upcoming technology for the future wireless generation system, as it has got high throughput and diversity gain. MIMO makes antennas work smarter by enabling them to combine data streams arriving from different paths and at different times to effectively increase receiver signal-capturing power. MIMO is used in modern wireless standards, including in IEEE 802.11, 3GPP LTE, and mobile WiMAX systems.Sphere decoding algorithm is a lattice reduction algorithm introduced for low complexity MIMO detection SD is a powerful and attractive tool to achieve a high performance close to the Maximum Likelihood (ML),Zero Forcing (ZF) but with less complexity. This paper presents a simulation study on the sphere decoding method and compares the performance with other classical MIMO scheme such as VBLAST and Zero forcing receivers. The simulation tool used is MATLAB communication tool box version 7.1. The performance metric considered is Bit Error Rate (BER) and the channel is assumed to be Rayleigh fading. It is inferred that detection is possible with complexity and gives a better result in terms of Bit Error Rate when comparing general sphere decoding and MMSE.