Traditional Angle Measurement Research Articles

Research on super resolution angle measurement based on esprit algorithm

With the rapid development of communication, radar, sonar and many other fields, angle measurement has become a very important field in signal processing. Super resolution angle measurement, compared with the traditional angle measurement, has more advantages in accuracy, so it is widely used in practical production. Super resolution angle measurement includes MUSIC algorithm and ESPRIT algorithm. This paper firstly compares the MUSIC algorithm and ESPRIT algorithm, then elaborates the ESPRIT algorithm and deduces the process. In this paper, DOA estimation based on ESPRIT algorithm is carried out for three different number of input signal sources, and the errors are analysed according to different SNR (signal to noise ratio) values. Finally, based on the simulation results, the effectiveness of ESPRIT algorithm is evaluated.

Study on monopulse angle measurement method based on virtual polarization matching

A monopulse angle measurement method for polarization array radar is studied in this paper. The receiving signal model is established and then a monopulse angle measurement method based on virtual polarization matching is proposed. To analyze the estimation performance, the Cramer-Rao Lower Bound (CRLB) of angle estimation is derived. Both theoretical analysis and simulation show that: firstly, the proposed method is superior to the traditional angle measurement methods based on the single polarization. Secondly, the performance of the new method is unrelated to the echo polarization. Thirdly, angle estimation of this method is asymptotically optimal. The results show that this method has great potential to be used in polarization array radar.