Abstract

Modulation index estimation is important in the demodulation and recognition of Angle Modulation (AM) signals which include Frequency Modulation (FM) and Phase Modulation (PM) signals. In this paper, we firstly analyzed the AM signals with baseband modulation types, such as monotone, PSK, FSK, in the time and frequency domain. Then, we established a unified mathematical representation for the AM signals. Finally, we derived a blind estimation algorithm for the modulation index without using any prior knowledge. Simulation results verify the capabilities of the proposed algorithm.

Highlights

  • IntroductionAngle Modulation (AM), a general form of Frequency Modulation (FM) and Phase Modulation (PM), is an important nonlinear analogue modulation mode used in various communication systems

  • Modulation index estimation is important in the demodulation and recognition of Angle Modulation (AM) signals which include Frequency Modulation (FM) and Phase Modulation (PM) signals

  • Angle Modulation (AM), a general form of Frequency Modulation (FM) and Phase Modulation (PM), is an important nonlinear analogue modulation mode used in various communication systems

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Summary

Introduction

Angle Modulation (AM), a general form of Frequency Modulation (FM) and Phase Modulation (PM), is an important nonlinear analogue modulation mode used in various communication systems. Once these indices are effectively estimated, the FM/PM analogue signals can be identified according to its range in the practical application. The remainder is arranged as follows: the signal model is established in Section 2; in Section 3, the blind estimation method for the modulation index is derived; the simulation experiments and conclusions are given in Section 4 and Section 5, respectively

Signal Model
The TF Analysis of the AM Signals
Derivation of the Blind Modulation Index Estimation Method
Simulations
Monotone Baseband Case
Analysis of Simulation Results
Conclusions
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