This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a population capable of exploring the search space while preserving the diversity to prevent the premature convergence. The former is achieved by a niche-based adaptive mutation scheme and the latter by a niche-based l...

Estimation of the emitters’ directions with an antenna array, or Direction-of-Arrival (DOA) estimation, is an essential problem in a large variety of applications such as radar, sonar, mobile communications, and seismic exploration, because it is a major method for location determination. In wireless communications, DOA estimation may significantly improve communication efficiency and network c...

In array signal processing a group of sensors located at distinct spatial locations is deployed to measure a propagating wave eld. The multichannel output is then processed to provide information about parameters of interest. Application areas include smart antennas in communications, radar, sonar and biomedicine. When deriving array signal processing algorithms the noise is typically modeled a...

OF DOCTORAL DISSERTATION HELSINKI UNIVERSITY OF TECHNOLOGY P. O. BOX 1000, FI-02015 TKK

This chapter unifies the principles and analyses of conventional signal processing algorithms for receive-side smart antennas, and compares their performance and numerical complexity. The chapter starts with a brief look at the traditional single-antenna optimum symbol-detector, continues with analyses of conventional smart antenna algorithms, i.e., statistical beamforming (BF) and maximal-rati...

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This section gives a short survey of the principles and the terminology of phased array radar. Beamforming, radar detection and parameter estimation are described. The concept of subarrays and monopulse estimation with arbitrary subarrays is developed. As a preparation to adaptive beam forming, which is treated in several other sections, the topic of pattern shaping by deterministic weighting i...

The performance of wideband array signal processing algorithms is dependent on the noise level in the system. A method is proposed for reducing the level of white noise in wideband linear arrays via a judiciously designed spatial transformation followed by a bank of highpass filters. A detailed analysis of the method and its effect on the spectrum of the signal and noise is presented. The reduc...

The computational complexity for direction of arrival estimation using sensor arrays increase very rapidly with the number of sensors in the array One way to lower the amount of computations is to employ some kind of reduction of the data dimension This is usually accomplished by employing linear transformations for mapping full dimension data into a lower dimensional space Di erent approaches ...

This paper proposes a novel online tracking, waveform recovery, and detection algorithm for wideband array signal processing. The proposed method extends the wideband data model developed in [1] to the online case through use of particle filters. This proposed method finds application in various areas of telecommunications, including radar, sonar, and other wireless communication problems, wher...