A Low-Complexity Near-ML Differential Spatial Modulation Detector

Miaowen Wen, Xiang Cheng, Yuyang Bian, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

57 Scopus citations


Differential spatial modulation (DSM) is a newly-emerging differential scheme tailored to the spatial modulation technique, which selects only one among a group of antennas for transmission at any time instant. DSM, however, gives rise to prohibitive search complexity when the number of transmit antennas is large. In this letter, a low-complexity suboptimal detector is proposed for DSM. It is designed based on the maximum-likelihood criterion but takes more candidates for the antenna activation orders into account. The detection is performed in two steps: the first step is to confine the number of candidates for the modulated symbols to a small portion by exploiting the symmetry of the signal constellation; the second step is to select the most likely modulated symbols from the output of the first step according to the determined antenna activation order via a Viterbi-like algorithm. Analyses and simulations show that the proposed detector achieves near-optimal performance yet largely reduces the search complexity.

Original languageEnglish (US)
Article number7090939
Pages (from-to)1834-1838
Number of pages5
JournalIEEE Signal Processing Letters
Issue number11
StatePublished - Nov 1 2015

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Differential modulation
  • search complexity
  • spatial modulation (SM)


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