High Performance Power Spectrum Analysis Using a FPGA Based Reconfigurable Computing Platform

TL;DR

This paper introduces a reconfigurable FPGA platform capable of real-time power-spectrum analysis across multiple channels, enabling quick detection of interference in signals for diverse applications.

Contribution

The paper presents a novel FPGA-based platform designed for high-performance, real-time power-spectrum analysis with multi-channel support and reconfigurability.

Findings

Real-time processing of multiple data streams achieved.

Supports quick detection of interference in signals.

Efficient computation of power, average, and peak values.

Abstract

Power-spectrum analysis is an important tool providing critical information about a signal. The range of applications includes communication-systems to DNA-sequencing. If there is interference present on a transmitted signal, it could be due to a natural cause or superimposed forcefully. In the latter case, its early detection and analysis becomes important. In such situations having a small observation window, a quick look at power-spectrum can reveal a great deal of information, including frequency and source of interference. In this paper, we present our design of a FPGA based reconfigurable platform for high performance power-spectrum analysis. This allows for the real-time data-acquisition and processing of samples of the incoming signal in a small time frame. The processing consists of computation of power, its average and peak, over a set of input values. This platform sustains simultaneous data streams on each of the four input channels.