Probabilistic spherical detection and VLSI implementation for multiple-antenna systems

Chester Sungchung Park, Keshab K. Parhi, Sin Chong Park

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


This paper presents a novel probabilistic spherical-detection (P-SD) method which applies the probabilistic-search algorithm to conventional depth-first SD (DF-SD). By confining the tree search into candidates which can be selected in an adaptive manner, a large number of promising candidates can be evaluated before termination. Consequently, the proposed P-SD improves the error performance of DF-SD with early termination, while retaining the hardware efficiency. An efficient VLSI architecture is proposed for implementation of the P-SD algorithm, and the results of the synthesized architecture are presented. The main advantage of P-SD is that it can fully exploit the state-of-the-art architectures of DF-SD, since it can be implemented by simply adding two functional blocks to conventional DF-SD. By analyzing the performance-complexity tradeoffs, it is concluded that our proposed P-SD is advantageous over conventional DF-SD and K-best algorithm, when the maximum-likelihood error performance is desired.

Original languageEnglish (US)
Pages (from-to)685-698
Number of pages14
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Issue number3
StatePublished - 2009

Bibliographical note

Funding Information:
Manuscript received October 21, 2006; revised October 30, 2007. First published August 04, 2008; current version published March 11, 2009. This work was supported in part by the System Integration Technology Institute (SITI), Korea. This paper was presented in part at the ISCAS, Kos, Greece, May 2006 and at the ICASSP, Toulouse, France, May 2006. This paper was recommended by Associate Editor A.-Y. Wu.


  • Adaptive signal processing
  • CMOS digital integrated circuits
  • Maximum-likelihood (ML) detection
  • Multiple-input-multiple-output (MIMO) systems


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