
A novel domain for Index Modulation (IM) named “Filter Domain” is proposed. This new domain generalizes many existing modulations and IM domains. In addition, a novel scheme “Filter Shape Index Modulation” (FSIM) is proposed. This FSIM scheme allows a higher Spectral Efficiency (SE) gain than the time and frequency IM dimensions in Single-Input Single-Output (SISO) systems. In the FSIM system, the bit-stream is mapped using an Amplitude Phase Modulation (APM) as QAM or PSK, and an index of a filter-shape changing at the symbol rate. This filter shape, being changed at each symbol, enables a SE gain in SISO system without sacrificing any time or frequency resources. Compared to an equivalent 8QAM and 16QAM schemes and at the same SE, the FSIM with QPSK using 2 and 4 non-optimal filter shapes achieves a gain of 3.8 dB and 1.7 dB respectively at BER= 10−4, and this superiority is maintained in frequency selective fading channel compared to equivalent SISO-IM schemes. A low complexity detection scheme, approaching the maximum likelihood detector performance, is proposed along with a full performance characterization in terms of theoretical probability of filter index error and BER lower bound. Finally, FSIM can achieve better spectral and energy efficiencies when a filter bank and an ISI cancellation technique are optimally designed.
joint maximum likelihood detector, SISO, Filter Shape Index Modulation (FSIM), spectral efficiency, Index Modulation (IM), Filter Domain (FD), Filter Index Modulation, matched filter detector, pulse-shaping filter, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, energy efficiency, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
joint maximum likelihood detector, SISO, Filter Shape Index Modulation (FSIM), spectral efficiency, Index Modulation (IM), Filter Domain (FD), Filter Index Modulation, matched filter detector, pulse-shaping filter, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, energy efficiency, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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