Multiuser Detection provides the first comprehensive treatment of the subject of multiuser digital communications. Multiuser detection is one of the most important areas in modern communications technology, and this self-contained book covers the whole field, starting with simple examples and progressing to state-of-the-art applications. The author begins with a review of multiaccess communications, dealing in particular with code division multiple access (CDMA) channels. He then discusses simple and optimum approaches for demodulating CDMA channels, and deals with decorrelating and non-decorrelating linear multiuser detection schemes. He also covers in detail more advanced topics such as decision-driven multiuser detection, noncoherent multiuser detection, and array processing. The only prerequisites assumed are undergraduate-level probability, linear algebra, and digital communications. The book contains over 240 exercises and will be a suitable textbook for electrical engineering students. It will also be an ideal self-study guide for practising engineers, as well as a valuable reference volume for researchers in communications, information theory, and signal processing.