Improved decoding for Bluetooth systems

Lampe, Lutz; Jain, Manish; Schober, Robert

doi:10.1109/icc.2005.1494796

Cited by 6 publications

(16 citation statements)

References 11 publications

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“…Unlike previous work, [6] exploited both the single and double adjacent error correcting capability of the SHC code which improves performance with a marginal increase in complexity. In [7], a max-log-ML symbol estimation postprocessor was applied at the output of the LDI detector.…”

Section: Introductionmentioning

confidence: 86%

“…Lampe et al proposed a modification to LDI-HDD in [6]. Unlike previous work, [6] exploited both the single and double adjacent error correcting capability of the SHC code which improves performance with a marginal increase in complexity.…”

Section: Introductionmentioning

confidence: 93%

“…Noncoherent receivers are hence preferred for Bluetooth systems. The noncoherent detector often used for Bluetooth is the limiter discriminator integrator (LDI) detector [6], [7]. Since the data medium (DM)-rate packet type in Bluetooth is protected by a (15,10) shortened Hamming channel (SHC) code [2], typically, LDI detection is followed by hard decision decoding (HDD) of the code bits (LDI-HDD).…”

Section: Introductionmentioning

confidence: 99%

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Soft-in/soft-out noncoherent sequence detection for Buetooth: capacity, error rate and throughput analysis

Seshadri

Valenti

2006

IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.

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This paper investigates an energy efficient, noncoherent system design for Bluetooth. We propose using a soft decision differential phase detector (SDDPD) along with the (15, 10) shortened Hamming channel (SHC) code. Unlike previous work, where SDDPD with ML detection gives hard estimates of the modulated bits, we develop a sequential, soft-in/ soft-out (SISO) SDDPD which exchanges soft information with the channel decoder. The proposed soft decision based receiver gives significant improvements in energy efficiency and throughput over the benchmark Bluetooth receiver using limiter discriminator integrator (LDI) detection with hard decision channel decoding. It also outperforms SDDPD with ML detection followed by hard decision channel decoding. Additional gains are obtained by extending our proposed system to perform bit-interleaved coded modulation (BICM). The effect of bit-interleaving on the performance of LDI detection and SDDPD with hard decision decoding is studied. The capacity of our system under BICM is evaluated and extrinsic information transfer (EXIT) chart analysis is used to analyze convergence behavior of the proposed receiver.

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Section: Introductionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Soft-in/soft-out noncoherent sequence detection for Buetooth: capacity, error rate and throughput analysis

Seshadri

Valenti

2006

IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.

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“…To avoid extending the length of this paper, the reader is referred to those documents, while this section describes variants of the Bluetooth FEC system. An expurgated (15,10) Hamming code is applied to 15-bit blocks and can cope with burst sizes of two, depending on decoder [40]. As a point of comparison with rateless codes, it is supposed that the DM packet scheme is extended to the EDR transmission modes.…”

Section: Other Fec Schemesmentioning

confidence: 99%

Enabling Cognitive Load‐Aware AR with Rateless Coding on a Wearable Network

Razavi

Fleury

Ghanbari

2008

Advances in Multimedia

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Augmented reality (AR) on a head-mounted display is conveniently supported by a wearable wireless network. If, in addition, the AR display is moderated to take account of the cognitive load of the wearer, then additional biosensors form part of the network. In this paper, the impact of these additional traffic sources is assessed. Rateless coding is proposed to not only protect the fragile encoded video stream from wireless noise and interference but also to reduce coding overhead. The paper proposes a block-based form of rateless channel coding in which the unit of coding is a block within a packet. The contribution of this paper is that it minimizes energy consumption by reducing the overhead from forward error correction (FEC), while error correction properties are conserved. Compared to simple packet-based rateless coding, with this form of block-based coding, data loss is reduced and energy efficiency is improved. Cross-layer organization of piggy-backed response blocks must take place in response to feedback, as detailed in the paper. Compared also to variants of its default FEC scheme, results from a Bluetooth (IEEE 802.15.1) wireless network show a consistent improvement in energy consumption, packet arrival latency, and video quality at the AR display.

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“…An efficient approach toward this problem is a joint optimization of a detector and decoder, which may help improving the system performance. For example, in [5], an improved decoder for the Bluetooth transmission with data medium (DM)-rate packet types [6] has been proposed. This decoder exploits the error statistic of the limiter-discriminator detector with subsequent integrate and dump filtering (LDI detector) output.…”

Section: Introductionmentioning

confidence: 99%

Embedded forward error control technique (EFECT) for low-rate but low latency communications

Ishibashi

Ochiai

Kohno

2008

IEEE Trans. Wireless Commun.

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In order to alleviate development cost, many application-oriented wireless networks make use of the off-theshelf wireless standards such as the Bluetooth, IEEE802.15.4 (Zigbee), and IEEE802.11, which are originally developed for personal area networks (PAN) and local area networks (LAN). Examples of such applications are medical monitoring and control. These applications do not require data rates as high as these standards, but instead they require higher reliability with lower latency. As a means to meet such requirements based on these standards, we propose an efficient error control technique named Embedded Forward Error Control Technique (EFECT). This technique enables an additional forward error correction to the existing standards without any additional costs. Some design guidelines based on Reed-Solomon (RS) codes are proposed and, as a specific example, achievable gains by applying the EFECT are studied for the Bluetooth standard.Index Terms-Bluetooth, high reliability, low latency, low-rate data applications, medical real-time life-critical applications.

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Improved decoding for Bluetooth systems

Cited by 6 publications

References 11 publications

Soft-in/soft-out noncoherent sequence detection for Buetooth: capacity, error rate and throughput analysis

Soft-in/soft-out noncoherent sequence detection for Buetooth: capacity, error rate and throughput analysis

Enabling Cognitive Load‐Aware AR with Rateless Coding on a Wearable Network

Embedded forward error control technique (EFECT) for low-rate but low latency communications

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