A Single-User Noncoherent Combining Scheme Achieving Multiuser Interference Mitigation for FFH/MFSK Systems

Abstract

In this paper, we propose a novel low-complexity single-user noncoherent combining scheme, named as the erasure-supported equal-gain combining assisted detector (ES-EGCD), for signal detection in fast frequency-hopping M -ary frequency-shift keying (FFH/MFSK) systems. In the proposed ES-EGCD, the decision variables are formed based on the principles of equal-gain combining (EGC), after erasing a number of entries having the largest values from each of the rows of a so-called detection matrix formed during detection. We derive the single-user bit-error rate (BER) of the FFH/MFSK systems employing the ES-EGCD and investigate by simulation the BER performance of the multiuser FFH/MFSK systems employing either the conventional EGC-assisted detector (EGCD) or the proposed ES-EGCD, when assuming communications over Rayleigh fading channels. Both random and optimum FFH addresses are considered in our studies. Our studies and performance results illustrate that the ES-EGCD is capable of significantly outperforming the conventional EGCD in multiuser scenarios. Although the ES-EGCD is a low-complexity singleuser detector, it employs the capability to effectively mitigate multiuser interference (MUI).Index Terms-Fast frequency-hopping, M -ary frequency-shift keying, equal-gain combining, noncoherent detection, multipleaccess.

Performance analysis of a subset‐based coherent FFH system with spatial modulation in Rayleigh fading channels with multitone jamming

“…This is because that, non‐coherent receivers are easy to implement, and especially that, they can avoid the channel estimation, which was once deemed impractical in FFH systems. The bit error ratio (BER) of the non‐coherent FFH/MFSK has been extensively studied with various diversity combining schemes, including linear combining [2, 3], product combining [4–7], clipped combining [8, 9], maximum‐likelihood (ML) combining [10–15], self‐normalisation combining [16–19], and noise‐normalisation combining [20, 21], among which the ML receiver gives the optimum BER performance. For the non‐coherent FFH/MFSK, however, one of the major shortcomings is the low spectral efficiency.…”

Adaptive Jamming Suppression in Coherent FFH System Using Weighted Equal Gain Combining Receiver over Fading Channels with Imperfect CSI

“…FFH employs a number of advantages including capability of antijamming, robustness against multipath fading, and low probability of interception [1,2].…”

“…In the presence of jamming, various diversity combining schemes have been proposed for noncoherent frequency shift keying (FSK) based FFH, including maximum likelihood (ML) combining [1][2][3][4][5][6][7], FFT based combining schemes [8], linear combining (LC) [9], self-normalization combining [10], noise-normalization combining [11], product combining [12][13][14][15][16][17], and clipped combining [18,19]. Among the noncoherent FFH/FSK combining schemes, ML combining yields the best BER performance in the presence of jamming.…”

Underwater Acoustic Communication System Based on MC-MFSK

“…MFSK technology combined with orthogonal frequency division multiplexing thinking, its spectral efficiency, communication rate and anti-interference capabilities are greatly enhanced. Frequency hopping is an important way of spread spectrum communication [10], which has many merits, such as anti-narrowband interference, anti-noise, easy to networking, as well as good confidentiality, makes it attracte great attention.…”