Blind Estimation of Multiple Carrier Frequency Offsets

Yu, Yuanning; Petropulu, Athina P.; Poor, H. Vincent; Koivunen, Visa

doi:10.1109/pimrc.2007.4394103

Cited by 18 publications

(12 citation statements)

References 11 publications

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“…Note that since all the relays act independently, the synchronization problem in the broadcasting phase is the same as in Single Input Single Output (SISO) systems, for which blind solutions already exist in the literature. See, for example, [12], [18], [20] and references therein.…”

Section: A Synchronization In Broadcasting Phasementioning

confidence: 99%

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Blind Timing and Carrier Synchronization in Decode and Forward Cooperative Systems

Nasir

Durrani

Kennedy

2011

2011 IEEE International Conference on Communications (ICC)

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Abstract-Synchronization in Decode and Forward (DF) cooperative communication systems is a complex and challenging task requiring estimation of many independent timing and carrier offsets at each relay in the broadcasting phase and multiple timing and carrier offsets at the destination in the relaying phase. This paper presents a scheme for blind channel, timing and carrier offset estimation in a DF cooperative system with one source, M relays and one destination equipped with N antennas. In particular, we exploit blind source separation at the destination to convert the difficult problem of jointly estimating multiple synchronization parameters in the relaying phase into more tractable sub-problems of estimating many individual timing and carrier offsets for the independent relays. We also modify and propose a criterion for best relay selection at the destination. Simulation results demonstrate the excellent end-toend Bit Error Rate (BER) performance of the proposed blind scheme with relay selection, which is shown to achieve the maximum diversity order with M = 4 relays using N = 5 antennas at the destination. The presented work is a complete solution to blind synchronization and channel estimation in DF cooperative communication systems.

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Section: A Synchronization In Broadcasting Phasementioning

confidence: 99%

“…A blind method of multiple carrier frequency offset estimation is proposed in [12] based on formulating a virtual MIMO system using polyphase components of the oversampled signal. In [13], [14], the approach is shown to be able to separate two users in a distributed Multiple Input Single Output (MISO) system.…”

Section: Introductionmentioning

confidence: 99%

Blind Timing and Carrier Synchronization in Decode and Forward Cooperative Systems

Nasir

Durrani

Kennedy

2011

2011 IEEE International Conference on Communications (ICC)

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“…Collision resolution is based on the ideas of [18], where naturally occurring user delays and carrier frequency offsets were shown to provide diversity that enables blind user separation, i.e., separation without knowledge of the channel. However, in our experimental setup, we observed that naturally occurring delays and CFOs are rather small.…”

Section: ) Relation To Other Published Workmentioning

confidence: 99%

ALOHA With Collision Resolution (ALOHA-CR): Theory and Software Defined Radio Implementation

Liu

Kountouriotis

Petropulu

et al. 2010

IEEE Trans. Signal Process.

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A cross-layer scheme, namely ALOHA With Collision Resolution (ALOHA-CR), is proposed for high throughput wireless communications in a cellular scenario. Transmissions occur in a time-slotted ALOHA-type fashion but with an important difference: simultaneous transmissions of two users can be successful. If more than two users transmit in the same slot the collision cannot be resolved and retransmission is required. If only one user transmits, the transmitted packet is recovered with some probability, depending on the state of the channel. If two users transmit the collision is resolved and the packets are recovered by first over-sampling the collision signal and then exploiting independent information about the two users that is contained in the signal polyphase components. The ALOHA-CR throughput is derived under the infinite backlog assumption and also under the assumption of finite backlog. The contention probability is determined under these two assumptions in order to maximize the network throughput and maintain stability. Queuing delay analysis for network users is also conducted.The performance of ALOHA-CR is demonstrated on the Wireless Open Access Research Platform (WARP) test-bed containing five software defined radio nodes. Analysis and test-bed results indicate that ALOHA-CR leads to significant increase in throughput and reduction of service delays.keywords-multi-user system, blind source separation, MIMO systems, collision resolution, software defined radio scheme, i.e., Request To Send (RTS) followed by Clear To Send (CTS). However, in most protocols, collisions occur more frequently as the traffic load increases, in which case the RTS/CTS scheme becomes less effective due to collisions of the RTS reservation packets.Collision resolution can be viewed as multiuser separation. However, well known approaches that allow for multiuser separation, such as TDMA, FDMA, OFDMA, CDMA or use of multiple antennas, might not be a good fit for wireless networks. Wireless network traffic can be bursty, users operate on limited battery power, and in certain cases, wireless receivers have physical size limitations. TDMA, FDMA and OFDMA approaches are fixed resource allocation schemes and thus are not efficient for bursty traffic.The CDMA approach requires bandwidth expansion, which results in increased power consumption for each wireless network user. The use of multiple antennas, might not be feasible for compact wireless receivers. Wireless network-friendly approaches to achieve diversity include the NDMA protocol [6,19], ALLIANCES [10, 17] and ZigZag decoding [7]. In these protocols, collisions are resolved by combining collided packets and several retransmissions. In these schemes it is assumed that nodes transmit with the same power, and that there is no significant power decrease due to propagation in small-scale networks.For cases in which users transmit using different power levels, user separation could be achieved via successive interference cancellation (SIC) [14]. However, it might not be a good approach ...

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“…Data aided schemes use training or pilot symbols (known to both the transmitter and the receiver) and are bandwidth consuming [2]. Blind schemes do not require any initial training and can be broadly classified into two categories: (a) algorithms which operate in feedback mode and employ Phase Lock Loop (PLL) or automatic frequency control loops [3]; and (b) algorithms which operate in feed forward mode and are based on open loop frequency estimation [4]- [6]. PLL based algorithms require a long convergence time and suffer from the well known M -fold symmetric ambiguity, resulting in a limited acquisition range for the frequency offset, i.e., |f | < 1/(2M ), where M is the constellation size and f is the normalised digital frequency offset.…”

Section: Introductionmentioning

confidence: 99%

Particle filter for joint blind carrier frequency offset estimation and data detection

Nasir

Durrani

Kennedy

2010

2010 4th International Conference on Signal Processing and Communication Systems

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Abstract-This paper proposes a new blind algorithm for joint carrier offset estimation and data detection, which is based on particle filtering and recursively estimates the joint posterior probability density function of the unknown transmitted data and the unknown carrier offset. We develop new guidelines for resampling of the particles to take into account carrier offset estimation ambiguity at the edges of the range, and for fine tuning estimates to achieve fast, accurate convergence. The Mean Square Error (MSE) and Bit Error Rate (BER) performance of the proposed algorithm is studied through computer simulations. The results show that the proposed algorithm achieves fast convergence for the full acquisition range for normalized carrier frequency offsets.

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Blind Estimation of Multiple Carrier Frequency Offsets

Cited by 18 publications

References 11 publications

Blind Timing and Carrier Synchronization in Decode and Forward Cooperative Systems

Blind Timing and Carrier Synchronization in Decode and Forward Cooperative Systems

ALOHA With Collision Resolution (ALOHA-CR): Theory and Software Defined Radio Implementation

Particle filter for joint blind carrier frequency offset estimation and data detection

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