Soft-input soft-output single tree-search sphere decoding (SISO STS-SD)
The SISO STS-SD algorithm is an efficient method for iterative detection and decoding in multiple-input multiple-output (MIMO) wireless communication systems. The low-complexity algorithm is based on sphere decoding (SD) and the single-tree search (STS) paradigm. The SISO STS-SD incorporates clipping of the extrinsic log-likelihood ratios (LLRs) into the tree-search, which results in significant complexity savings. In addition, LLR clipping allows to cover a large performance/complexity tradeoff by adjusting only a single parameter. The zip-package provided here contains code of the SISO STS-SD algorithm and a modular MIMO-OFDM simulator.
Measurement data
UWB measurement campaign
We conducted two UWB channel measurement campaigns to obtain data for statistical UWB channel modeling. Both measurement campaigns are described in detail in a paper that was published in the IEEE Transactions on Wireless Communications, Vol. 6, No. 7, July 2007. On this website, we provide the raw measurement data from these measurement campaigns for download.
