Sigma-Delta Modulation Based Single-bit Adaptive DSP Algorithms for Efficient Mobile Communication

Aneela Pathan, Tayab Din Memon

Research output: Contribution to journalArticlepeer-review


In the recent past, a new set of digital signal processing algorithms are developed called short word length (SWL) DSP systems to mitigate the multiplier complexity that is an inherent part in most DSP functions. In SWL algorithms, the critical element is sigma-delta modulation (SDM). In this paper, we present the design, implementation, and hardware synthesis of the FIR filter and adaptive algorithms with the conventional and proposed multiplier schemes. Two proposed short word length adaptive algorithms namely Wiener and Steepest-Descent are compared with their counterpart LMS algorithm using conventional and proposed multiplier schemes. The hardware synthesize of these algorithms is done using Xilinx Spartan-6 and Vertex-7 FPGA and comparison is done based on area-performance-power. The overall results show that the sigma-delta modulation based adaptive DSP algorithm outperforms and is an efficient approach for mobile communication.

Original languageEnglish
Pages (from-to)1788-1801
Number of pages14
JournalCircuits, Systems, and Signal Processing
Issue number4
Publication statusPublished - Apr 2021
Externally publishedYes


  • Short word length
  • Sigma-delta modulation
  • Single-bit adaptive channel equalizer
  • Steepest-Descent
  • Wiener


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