KEYWORDS: Digital signal processing, Signal processing, Detection and tracking algorithms, Radar, Phased arrays, Field programmable gate arrays, Data processing, Target detection, Sensors, Radar signal processing
This paper illustrates the improved signal processing system architecture and processing flow for a two-dimensional (2- D) phased array digital multi-beam radar. 2D phased array digital multi-beam radar is required to achieve electronically scanning in both azimuth and elevation, which demands higher processing performance of the system. To improve the real-time performance of the system, we modify the signal processing system architecture. In this paper, we will focus on DSP to demonstrate the utility of the improved system architecture and processing flow. And a new detection strategy which combines dual-threshold variable index constant false alarm (DT-VI-CFAR) and 2-D Cell Average CFAR (CACFAR) is proposed. Practical validation shows that this detection strategy significantly reduces the complexity compared to traditional 2-D CA-CFAR, while improving the detection probability compared to traditional DT-VI-CFAR.
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.
KEYWORDS: Digital signal processing, Field programmable gate arrays, Signal processing, Clocks, Phased arrays, Optical fibers, Interfaces, Data transmission, Radar signal processing, Data storage
With the increasing use of digital array radars, radar signal processing systems have higher performance requirements. This article introduces a signal processing hardware design for the two-dimensional phased array digital multi-beam system. Because of its digital multi-beam characteristics, it is very demanding on the radar signal processing system's computing power, processing speed, and data throughput. This paper proposes a design of signal processing hardware based on Xilinx FPGA Virtex-7 and two multi-core digital signal processors (DSP) to meet the requirements of two-dimensional phased array digital multi-beam system. Subsequent experiments and engineering practices show that this design scheme can fully meet the requirements of the system.
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