Random aliasing modulation with decision-directed demodulation

Abstract

The recently proposed compressive modulation (CM) offers a much higher bandwidth efficiency than the conventional modulation schemes such as binary phase shift keying (BPSK) and M-ary phase shift keying (M-PSK), due to the employment of the compressive sensing (CS) principle. However, the CS-driven reconstruction currently used in the CM scheme cannot guarantee the highly desirable performance because it ignores the characteristics of the aliased waveforms. In this paper, we propose to use the decision feedback equalization (DFE) technique in the reconstruction process and extend the idea of CM to the framework of random aliasing modulation, leading to a random aliasing modulation with decision directed demodulation (abbreviated as RAM-DDD). Our experimental results show that the performance of the proposed RAM-DDD scheme, measured by either the bandwidth efficiency or bit error rate (BER) at the same SNR, has outperformed the alternatives.