Signal processing advance in wireless & mobile communication

Volume 1 focuses on key advances in channel identification and equalization for single-user point-to-point links. As information-bearing signals propagate through fading media, modem equalizers must account for the variability of the mobile wireless channel, mitigate inter-symbol and co-channel interference and suppress noise at the single- or multi-sensor receivers. This book presents the latest bandwiclth-saving (semi-) blind algorithms and performance analysis, as well as linear precoding techniques that capitalize on transmit-reclundancy to offer distinct improvements over training-based systems. Coverage includes:

• Subspace methods for blind identification and deconvokition
  
• Blind identification and equallization of channels driven by collored signals
  
• Optimm subspace methods, linear prediction algorithms for multichannel equalization
  
• Semi-blind methods for FIR multichannel estimation
  
• Blind decision-feedback equallization and more
  

This book brings together research previously scattered across multiple journals worldwide, delivering an unprecedented collection of advanced SP techniques for optimizing single-user point-to-point links. It will be an invaluable resource for practicing engineers, researchers, managers, and any professional involved with designing or building state-of-the-art communications systems.