Focused on the issue of anomaly detection for Unmanned Aerial Vehicle （UAV） flight data in the field of UAV airborne health monitoring， firstly， the characteristics of UAV flight data， the common flight data anomaly types and the corresponding demands on anomaly detection algorithms for UAV flight data were presented. Then， the existing research on UAV flight data anomaly detection algorithms was reviewed， and these algorithms were classified into three categories： prior-knowledge based algorithms for qualitative anomaly detection， model-based algorithms for quantitative anomaly detection， and data-driven anomaly detection algorithms. At the same time， the application scenarios， advantages and disadvantages of the above algorithms were analyzed. Finally， the current problems and challenges of UAV anomaly detection algorithms were summarized， and key development directions of the field of UAV anomaly detection were prospected， thereby providing reference ideas for future research.

Abstract: To overcome the shortcoming that random measurement matrix is hard for hardware implementation due to its randomly generated elements, a new structural and sparse deterministic measurement matrix was proposed by studying the theory of measurement matrix in Compressed Sensing (CS). The new matrix was based on parity check matrix in Quasi-Cyclic Low Density Parity Check (QC-LDPC) code over finite field. Due to the good channel decoding performance of QC-LDPC code, the CS measurement matrix based on it was expected to have good performance. To verify the performance of the new matrix, CS reconstruction experiments aiming at one-dimensional signals and two-dimensional signals were conducted. The experimental results show that, compared with the commonly used matrices, the proposed matrix has lower reconstruction error under the same reconstruction algorithm and compression ratio. The proposed method achieves certain improvement (about 0.5-1dB) in Peak Signal-to-Noise Ratio (PSNR). Especially, if the new matrix is applied to hardware implementation, the need for physical storage space and the complexity of the hardware implementation should be greatly reduced due to the quasi-cyclic and symmetric properties in the structure.