Exact(6)
Another example is a FPGA architecture of a fixed sphere decoder for a WiMAX system presented in [21].
The classical sphere decoding is a depth-first approach, while the K-Best decoding and fixed sphere decoding are commonly seen as breath-first approaches.
So far, many detection methods for SEFDM system have been proposed such as iterative detection (ID) [6], sphere decoders (SD), truncated singular value decomposition (TSVD), fixed complexity sphere decoder (FSD), combining truncated singular value decomposition and fixed sphere detection (TSVD-FSD) and combining iterative detection and fixed sphere detection (ID-FSD) [7, 8].
Simulation results show that the BER performance of system under iterative ICI compensation receiver is almost same as traditional combining iterative detection and fixed sphere detection (ID-FSD) scheme with large bandwidth compression factor (BCF).
The breath-first based K-Best decoder [14] and fixed sphere decoder (FSD) [15] are thus proposed to obtain a constant throughput and to reduce the hardware complexity at a cost of certain performance loss.
Fixed sphere decoder is a breath-first search algorithm proposed to further reduce the complexity of K-Best decoder.
Similar(2)
The bed was made using two rows of spheres fixed in staggered positions, and a test sphere resting on top of the three neighbouring fixed spheres (i.e. nestling in the space between the surfaces of the fixed spheres).
As a trade-off between performance and complexity, various MIMO detection methods such as sphere decoding [1, 2], fixed complexity sphere decoding [3, 4], and MFCSO decoding [5] have been proposed to reach near-MAP performance with lower complexity than MAP.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com