MIMO Receiver Coefficient Scaling for Lower Detection Complexity

The patent applies parameter changes by scaling the equalized channel matrix coefficients to reduce their precision requirements. The scaling logic selectively scales coefficients based on their magnitude, transforming full-precision coefficients into reduced-precision representations (e.g., from 32-bit floating point to 8-bit integers). This parameter transformation maintains the essential signal characteristics while reducing the computational burden of subsequent detection operations, thereby resolving the contradiction between maintaining reliability with multiple antennas and reducing detection complexity.

The patent implements preliminary action by performing scaling of the equalized channel matrix coefficients before the actual detection process. The scaling logic pre-processes the channel coefficients to reduce their precision requirements, preparing simplified parameters that will be used in subsequent lower-complexity detection algorithms. This preliminary transformation allows the system to achieve near-optimal detection performance using computationally efficient algorithms rather than exhaustive maximum-likelihood search, thereby resolving the contradiction between detection performance and computational complexity.

The patent transforms the channel coefficients from full-precision to reduced-precision representations through selective scaling. By scaling coefficients based on their magnitude and quantizing them to fewer bits, the patent enables the use of simple detection algorithms that operate on these scaled coefficients. The scaling process preserves the relative relationships between coefficients while reducing their absolute precision requirements, allowing low-complexity detectors to achieve performance close to optimal detectors without the exponential computational burden.