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Ultra wideband systems offer many advantages for communications, such as high data rate transmission, robustness against small-scale fading, and low probability of interception. Moreover, their large spreading factor results in large multiuser capacity; that is, it is theoretically possible to accommodate a large number of users in a UWB multiple-access environment [1 6]. In this chapter, we consider MAI mitigation for multiaccess impulse radio UWB (IR-UWB) systems, and present signal processing techniques for combatting the effects of interfering users on the detection of information symbols. We consider a scenario, in which all the users transmit their signals at the same time by relying on their multi-access codes, which can be considered as a CDMA scheme [7, 8]. However, in some UWB systems, such as the IEEE 802.15.3a-based highdata-rate UWB physical layer for PANs [9 11], the transmissions from different users are time division multiplexed so that no two users in a given piconet transmit at the same time. However, even with such time-division multiplexing, there is still MAI from neighboring piconets, thus MAI mitigation is still an issue. The organization of this chapter is as follows: after introducing the signal model in Section 10.2, we analyze MAI mitigation techniques for IR-UWB systems under two categories. The rst includes the multiuser detection (MUD) algorithms at the receiver side (Section 10.3), where we consider ML detection, linear receivers, iterative algorithms, and other common MAI mitigating receivers. Because of the similarity between random CDMA (RCDMA) and IR-UWB systems [8, 12], the well-known MAI mitigation algorithms for CDMA systems can be employed for IR-UWB systems with no change. However, the special signaling structure of IRUWB systems facilitates the design of special MAI mitigation algorithms that cannot be used for ordinary CDMA systems. Since multiuser receivers for CDMA

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