Research And Implementation On Technologies Of Random-distributed Antennas Arraying

The development of deep space network has been promoting a new technique of multi-receivers: antennas arraying technique, which aims at impoving the quality of signal. Making use of multiple receivers, antennas arraying would bring a certain combining SNR gain. Besides that, there are several advantages: the first advantage is the reduction of the cost; the second is that higher data throughput could be obtained by arraying when trouble or failure happens; the third is it provides a more reliable and available mode for users. For these advantages, antennas arraying becomes more and more popular in navigation.The technique of the randomly-distributed multiple antennas combining(RMAC) is different with antennas arraying used in DSN in that: RMAC doesn't require the same antenna and regular array which generalizes its use.In the first part of this thesis, the signal model of the array in RMAC is given. After analyzing the time delay, frequency delay, phase delay among different receivers, different types of the array is introduced, paving the way for the following research.Secondly, numbers of techniques for RMAC are studied for different types of the array, such as TDE with frequency delay, joint TDE and FDE, TDE and so on. In this part, an efficient and flexible implementation for fractional delay digital filter is introduced. Computer Simulations are presented which show their particular performance.Thirdly, several different combining algorithms of arraying are presented. Both of the SIMPLE algorithm and the SUMPLE algorithm are only suitable for identical antennas, which is not common for RMAC. So an optimal combining algorithm for signal arrayinig using MMSE weight estimator is proposed for the array of different types. Numberical simulations are shown that the algorithm proposed here has less combining loss than EIGEN algorithm and traditional MMSE weight estimator, as well as lower computation than EIGEN. Also, based on the research of the technique mentioned above, the non real-time system of RMAC is designed, which could be customized and tested freely. As required, the real-time system of RMAC is also implemented on DSP for the given circumstance. The real-time system has been adopted and testified.Finally, the conclusion of the paper is given in the last part of the thesis, which contains the shortcoming of our techniques studied, the improvements needed, and the prospect of the futrure work.