The Improvement And Implementation Of The Self-adaption Beam Forming Algorithm In Missile Radar Fuse

Radar fuse is a sort of fuse system with miniature tactical radar, which can choose the most optimistic explosive spot to maximize damage through detecting the distance and angle of targets at short range. Therefore, it is the key component to determine the damage effect of weapons. The radar system with digital beam forming (DBF) can satisfy the demands of radar fuse for its good performance on anti-interference and angle resolution. Therefore, to enhance the performance of the radar fuse, a high efficiency self-adaption beam forming algorithm of DBF is the key. Block Least Mean Square (BLMS) algorithm has advantages on convergence, stable performance and hardware implementation, therefore which can satisfy the application demands of radar fuse well.However, because the BLMS algorithm adopts the multiply accumulator architecture in many parts, its computational efficiency reduces and the enhancement of radar fuse performance are restricted. Based on a thorough study of the BLMS algorithm architecture, we adopt the more efficient Look-up Table (LUT) and Multiplexer (MUX) architecture to replace the multiply accumulator architecture. Furthermore we propose two sorts of improved BLMS algorithm correspondingly and analyze their performance. Through simulation and test, we find that the improved algorithms perform better in some applications, compared with the traditional BLMS algorithm.The improved BLMS algorithm based on multi-LUT utilizes the LUT architecture to replace the multiply accumulator architecture, which only need table look-up operations and removes multiplication totally. Nevertheless, the algorithm demands for refresh operations on LUT, which makes the computational efficiency to decrease as exponent with the number of array element increases. Therefore, the algorithm only adapts for the condition on less number of array element. After the system converges stably, since the number of refresh operations decreases, the algorithm has very high computational efficiency.The improved BLMS algorithm based on MUX utilizes the MUX architecture to replace the multiply accumulator architecture, which only need selecting one from two operations and add operations, but multiplication operations. Furthermore, it calls for no refresh operations, whose computational efficiency has a negative linear correlation with the number of array element increases. This algorithm has high computational efficiency in all conditions, especially when the number of array element is more.Lastly, in accordance with the application demands of missile radar fuse, we design a practical digital beam forming system, and propose the simulation and implementation of total system and main modules. Comparing the performance of systems, based on different self-adaption beam forming, we find that the two sorts of improved BLMS algorithm spend less computational time and 70%~80% less hardware resource than traditional algorithm. It further verifies the theoretical analysis and simulation results.