基于数据压缩的雷达网络定位研究

针对双基地雷达空间定位系统在发射站附近区域的定位性能较差,存在基线盲区的问题,为提高定位精度,提出了特定的三基地雷达空间定位数据压缩算法.将多个雷达测量组合表示的目标位置压缩冗余,利用非线性坐标方程在目标的真实坐标附近展开为泰勒级数,并采用加权最小二乘法对冗余数据进行压缩合并,充分利用各雷达站的定位信息,进行仿真.仿真结果表明直线布站定位性能略优于均匀布站,三基地定位性能明显优于双基地定位性能,改善了发射站附近区域的定位性能,解决了双基地雷达空间定位的基线肓区问题.算法明显提高了目标定位精度,具有一定的有效性和实用性.

A Study of Radar Network Location Based on Data Compression

Since the location capability near the transmitter station is weak, and there exists the problem of blind area near the base line in 2-radar space location system, a specific 3-radar space location algorithm is used to compress data redundancy in the target coordinate, which is expressed by the combination of multi-radar measure-ments. Through Taylor series expansion of the non-linear coordinate equations near the real coordinate, the weigh-ted LSM method compresses and unites the redundant data to take full advantage of all the radar location information. Simulation results accord with the theoretical analysis, which indicates that linear distribution is slightly superior to symmetrical distribution, meanwhile, the 3-radar system is more accurate than the 2-radar system. It can improve the location capability near the transmitter station, and the location blind areas of the 2-radar space location near the base line can also be solved. It shows that the 3-radar data compression algorithm obviously increases the target location accuracy, and has a certain validity and practicability.