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In this paper, a new method to perform channel estimation is presented. It is shown that accurate estimation can be obtained when a training sequence is actually arithmetically added to the information data as opposed to being placed in a separate empty time slot: hence, the word "implicit." A closed-form solution for the estimation variance is derived, as(More)
Channel estimation/symbol detection methods based on superimposed training (ST) are known to be more bandwidth efficient than those based on traditional time-multiplexed training. In this paper we present an iterative version of the ST method where the equalised symbols obtained via ST are used in a second step to improve the channel estimation, approaching(More)
Wireless Sensor Networks deliver valuable information for long periods, then it is desirable to have optimum performance, reduced delays, low overhead, and reliable delivery of information. In this work, proposed metrics that influence energy consumption are used for a performance comparison among our proposed routing protocol, called Multi-Parent(More)
—This paper proposes a blind interference cancellation algorithm that is able to provide multiple packet reception capability for asynchronous random access wireless mobile ad hoc networks. The algorithm exploits the fact that the baseband signal exhibits cyclostationarity properties, which are induced at the transmitters by means of modulating the symbols(More)
Over the last few years there has been growing interest in performing channel estimation via superimposed training (ST), where a training sequence is added to the information-bearing data, as opposed to being time-division multiplexed with it. Recent enhancements of ST are data-dependent ST (DDST), where an additional data-dependent training sequence is(More)
The problem of channel estimation, under the data-dependent superimposed training (DDST) scheme, when no synchronisation between transmitter and receiver exists, is considered in this paper. The structure induced by the training sequence embedded in the transmitted signal is used to achieve synchronisation via projection operators, from which first, the(More)
—The Erlang capacity per cell and per unit area in urban code-division multiple-access (CDMA) microcellular environments is evaluated. Special emphasis is given to the effect of breakpoint distance and cell size on the system Erlang capacity. Two different cell plans are considered in which the communication between the base station (BS) and the mobile unit(More)
In this paper we propose, for the first time, a solution to the problem of carrier frequency offset (CFO) estimation within the Data Dependent Superimposed Training (DDST) framework for channel estimation. While time division multiplexed (TDM) trained systems can use the TDM sequence to determine the CFO, the original attraction of DDST for channel(More)
—Wireless sensor networks (WSNs) nodes are commonly designed to work with limited resources of memory, energy and processing; these constraints are aimed at reducing costs in order to make them suitable for a large number of applications: data mining, medicine, military, high-security industry and automation, among others. The routing protocol is one of the(More)
An algorithm for the recovery of multiple packets is proposed in this paper. The algorithm exploits the fact that every transmitter sends an implicit training sequence along with the information to accomplish multiple user equalization and interference suppression in the challenging scenario of an asynchronous random access ad hoc network. The proposed(More)