Multiphase Parallel Demodulation for Remote Sensing Satellite Data Transmission—Filter Bank Based on WOLA Structure

Abstract

With the rapid increase of data generated by remote sensing satellites, the demand of real-time demodulation of ultrahigh speed remote sensing data by digital receivers has become a research hotspot and difficulty. Aiming at the international research gap of parallel demodulation of remote sensing satellite data using multichannel channelization technology, a parallel matched filtering architecture of filter banks based on the weighted overlap-add (WOLA) structure is designed. This structure has the following advantages. First, the decimation factor is flexible and adjustable when the signal is channelized, which is not restricted by the number of channels. Second, the signal is divided into several sub-bands according to the frequency spectrum, which is beneficial to the parallel analysis and processing of the signal. This article completes the parallel matched filtering processing and provides ideas for the subsequent processing operation. Third, the structural channelization decomposition has strong expandability and can be flexibly applied to signal transmission of different systems. Aiming at the characteristics of high speed and wide bandwidth of remote sensing data transmission, this article designs the channelization method of filter bank based on WOLA structure and deduces and realizes the sub-band matching filtering operation. Taking QPSK modulation as an example, the simulation results show that parallel matched filtering has almost no loss in bit error performance. The research results of this article have great reference value for designing multiphase parallel receivers of high-speed remote sensing data in the future.

Keywords

• Nonmaximum decimation filter bank
• parallel demodulation
• perfect reconstruction
• remote sensing data transmission