Scholarlink

<p>Single-carrier frequency-division multiple access (SC-FDMA) is a multicarrier modulation system that has increased attention for its spectrum efficiency and superior performance in uplink transmission. However, one of the key drawbacks of the system is the occurrence of inter-symbol interference (ISI) and intercarrier interference (ICI), causing carrier frequency offset (CFO). In this article, we propose space–time image transmission with regularized zero-forcing (RZF) to provide considerable mean-square-error (MSE) reduction compared to existing equalization schemes in multiple-input multiple-output (MIMO) SC-FDMA systems. Moreover, we use discrete sine transform (DST) for joint equalization and CFO compensation and compare its performance to that of the discrete Fourier transform (DFT)-based MIMO SC-FDMA system. Furthermore, we propose a joint low-complexity space–time RZF (JLST-RZF) for MIMO SC-FDMA systems to mitigate ISI and ICI. The proposed JLST-RZF performs equalization and CFO compensation by compensating the coupling nature of the MIMO channel and using an RZF to overcome ISI. It is revealed that the proposed method is skillful in obtaining immense enhancement in peak signal-to-noise ratio (PSNR) and decreasing root-mean-square error (RMSE) for uplink image transmission. Furthermore, the simulation results verify that JLST-RZF is skillful in accomplishing greater performance and decreasing ISI over multipath fading channels.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Performance enhancement of MIMO SC-FDMA system with reduced complexity using DST for wireless image transmission

  • 期刊论文

  • 发表日期：

    2025年6月5日

查看全文
  • D Judson,
  • K A Aswathy

摘要

Single-carrier frequency-division multiple access (SC-FDMA) is a multicarrier modulation system that has increased attention for its spectrum efficiency and superior performance in uplink transmission. However, one of the key drawbacks of the system is the occurrence of inter-symbol interference (ISI) and intercarrier interference (ICI), causing carrier frequency offset (CFO). In this article, we propose space–time image transmission with regularized zero-forcing (RZF) to provide considerable mean-square-error (MSE) reduction compared to existing equalization schemes in multiple-input multiple-output (MIMO) SC-FDMA systems. Moreover, we use discrete sine transform (DST) for joint equalization and CFO compensation and compare its performance to that of the discrete Fourier transform (DFT)-based MIMO SC-FDMA system. Furthermore, we propose a joint low-complexity space–time RZF (JLST-RZF) for MIMO SC-FDMA systems to mitigate ISI and ICI. The proposed JLST-RZF performs equalization and CFO compensation by compensating the coupling nature of the MIMO channel and using an RZF to overcome ISI. It is revealed that the proposed method is skillful in obtaining immense enhancement in peak signal-to-noise ratio (PSNR) and decreasing root-mean-square error (RMSE) for uplink image transmission. Furthermore, the simulation results verify that JLST-RZF is skillful in accomplishing greater performance and decreasing ISI over multipath fading channels.