KEYWORDS: Signal processing, Field programmable gate arrays, Digital signal processing, Radar, Target detection, Phased arrays, Radar signal processing, Doppler effect, Data processing, Analog electronics
With the increasing use of digital array radars, radar signal processing systems are faced with the challenge of real time processing for a mass of data. A kind of field programmable gate array (FPGA) realization of signal processing is proposed for two-dimensional phased array digital multi-beam radar in this paper. This scheme can realize the real-time signal processing of 6 beams at the same time. Each beam processes data from 8400 range gates. The details of implementation including digital multi-beamforming (DBF), pulse compression and moving target detection (MTD) are described. The results show that the design is correct and feasible.
KEYWORDS: Curium, Phased arrays, Sensors, Signal to noise ratio, Monte Carlo methods, Wireless communications, Telecommunications, Reconstruction algorithms, Computer simulations
Traditional adaptive beamforming algorithms require high accuracy for steering vectors(SV), array models and desired signal(DS). However, the performance of the beamformer will seriously degrade when the DS is present in training snapshots. For the purpose of improving output performance of adaptive beamformer, a novel adaptive beamforming algorithm is proposed. This approach estimates the desired signal SV and reconstructs the sampling covariance matrix (CM) based on integrating over a undesired signal region. Furthermore, only a little prior knowledge is required, such as the approximate incident angle of the DS. The proposed algorithm remove not only the influence of the DS in the sampling covariance matrix, but also the effect of background noise perturbation, which is significantly improved compared with other methods. The results of data simulation experiments confirms that the beamformer has a excellent performance in output performance.
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