Max-log-ML symbol estimation postprocessor for intermediate frequency LDI detectors

Scholand, Tobias; Waadt, Andreas; Jung, Peter

doi:10.1049/el:20040157

Cited by 16 publications

(11 citation statements)

References 3 publications

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“…Taking explicitly all samples in the detection process into account, would results in a more complex design of the eaualizer that has to operate at a higher rate. A thorough analysis of the structure of G for f IF = 3 T b shows, that this quadratic matrix is based on a column vector with seven elements, of which only the three center values are relevant [41]. Hence, G describes approximately the transmission over a three tap channel with channel impulse response vector b = (0.398, 1.703, 0.398) T MHz.…”

Section: S I M P L I Fi E D M O D E L W I T H I R R E Gular Samplingmentioning

confidence: 99%

“…Hence, G describes approximately the transmission over a three tap channel with channel impulse response vector b = (0.398, 1.703, 0.398) T MHz. (36) Hence, this convolution process can be regarded as a four state Mealy machine when the transmission of binary data is considered [41].…”

Section: S I M P L I Fi E D M O D E L W I T H I R R E Gular Samplingmentioning

confidence: 99%

“…In [35][36][37][38]41] the authors proposed and investigated various detection schemes. In this communication, we will only consider the hard decision (HD)-LDI, termed "digital LDI" in [41], and the MLM-LDI [41].…”

Section: Data Detection For Binary Frequency Modulation With Small Momentioning

confidence: 99%

“…In this communication, we will only consider the hard decision (HD)-LDI, termed "digital LDI" in [41], and the MLM-LDI [41]. Both detectors set out from e defined by (35).…”

Section: Data Detection For Binary Frequency Modulation With Small Momentioning

confidence: 99%

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A Real-Time Zero-Crossing Demodulation Concept

Scholand

Spiegel

Waadt

et al. 2006

Wireless Pers Commun

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Short range communication systems such as Bluetooth and Digital Enhanced Cordless Telecommunications require low-cost transceiver structures. Hence, the development of appropriate receiver techniques has been a major research topic. Particularly, analog limiter-discriminator with integrate and dump filtering (LDI) techniques have received considerable attention. With the availability of digital signal processing, the digital implementation of LDI techniques has become increasingly attractive. In order to make LDI receivers more accessible, zero-crossing detection was proposed. In this communication, the authors shall focus on a novel, yet promising, approach to digital zero-crossing detection in the intermediate frequency domain. Zero-crossing demodulation is an irregular sampling technique, which replaces the commonly employed regular, i.e. temporally equidistant sampling technique in the mentioned low-cost receivers. In this manuscript, a real-time capable receiver concept deploying zero-crossing demodulation shall be presented. First, the authors shall present the theoretical aspects of zero-crossing demodulation with special focus on both Bluetooth Basic Rate and Bluetooth Enhanced Data Rate. Next, the obtained performance results in terms of the bit error ratio shall be given.Keywords: π /4-Shifted differential quadrature phase shift keying, bluetooth, bluetooth basic rate, Bluetooth enhanced data rate, continuous phase modulation, differential phase shift keying, digital enhanced cordless telecommunications, frequency modulation, Gaussian frequency shift keying, minimum shift keying, octal differential phase shift keying, real-time implementation, zero-crossing demodulation.

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Section: S I M P L I Fi E D M O D E L W I T H I R R E Gular Samplingmentioning

confidence: 99%

Section: S I M P L I Fi E D M O D E L W I T H I R R E Gular Samplingmentioning

confidence: 99%

Section: Data Detection For Binary Frequency Modulation With Small Momentioning

confidence: 99%

“…In this communication, we will only consider the hard decision (HD)-LDI, termed "digital LDI" in [41], and the MLM-LDI [41]. Both detectors set out from e defined by (35).…”

Section: Data Detection For Binary Frequency Modulation With Small Momentioning

confidence: 99%

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A Real-Time Zero-Crossing Demodulation Concept

Scholand

Spiegel

Waadt

et al. 2006

Wireless Pers Commun

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“…The variations in the modulation index result in varying trellis structures for sequence detection. A more complex receiver that uses a four-state trellis proposed in the literature is the so called max-logmaximum likelihood LDI (MLM-LDI) receiver [8], which exhibited a 4 dB improvement over the LDI receiver. In [9], Lampe et al proposed a high complexity receiver that consisted of a single filter and a subsequent non-coherent sequence detector (NSD) that operates on a two-state trellis, achieving an improvement of more than 4 dB compared with the LDI.…”

Section: Introductionmentioning

confidence: 99%

A New GFSK Demodulation Technique using EKF in Bluetooth Receivers

Abdallah¹,

Nsour²,

Zohdy³

2015

International Journal of Advanced Research in Computer and Comm

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Bluetooth is a wireless technology that is widely used in consumer electronics and deployed in many industries due to its ease of use and low cost. Gaussian frequency shift keying (GFSK) is the modulation scheme used in Bluetooth receivers to achieve a basic data rate of 1 Mbps. In this article, a new non-coherent demodulation technique based on the Extended Kalman Filter (EKF) is presented to detect a GFSK modulated signal in Bluetooth receivers for AWGN channels. The bit error rate (BER), and Packet Error Rate (PER) were used as the performance metrics of the proposed receiver at both the physical and system levels. Simulation results show an improvement in the performance compared to other existing techniques presented in the literature.

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