MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法

李玉柏; 伍春; 田斌

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MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法

李玉柏, 伍春, 田斌

文章導(dǎo)航 > 電子與信息學(xué)報(bào) > 2006 > 28(6): 989-993

李玉柏, 伍春, 田斌. MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(6): 989-993.

引用本文:

李玉柏, 伍春, 田斌. MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(6): 989-993.

Li Yu-bai, Wu Chun, Tian Bing. Real-Time Arithmetic for MSSR Reply Decoding and Confidence Bits[J]. Journal of Electronics & Information Technology, 2006, 28(6): 989-993.

Citation:

Li Yu-bai, Wu Chun, Tian Bing. Real-Time Arithmetic for MSSR Reply Decoding and Confidence Bits[J]. Journal of Electronics & Information Technology, 2006, 28(6): 989-993.

李玉柏, 伍春, 田斌. MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(6): 989-993.

引用本文:

李玉柏, 伍春, 田斌. MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(6): 989-993.

Li Yu-bai, Wu Chun, Tian Bing. Real-Time Arithmetic for MSSR Reply Decoding and Confidence Bits[J]. Journal of Electronics & Information Technology, 2006, 28(6): 989-993.

Citation:

Li Yu-bai, Wu Chun, Tian Bing. Real-Time Arithmetic for MSSR Reply Decoding and Confidence Bits[J]. Journal of Electronics & Information Technology, 2006, 28(6): 989-993.

MSSR應(yīng)答代碼提取與置信度標(biāo)注的實(shí)時(shí)算法

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出版歷程
- 收稿日期: 2004-10-13
- 修回日期: 2005-05-08
- 刊出日期: 2006-06-19

Real-Time Arithmetic for MSSR Reply Decoding and Confidence Bits

摘要

摘要: 該文提出了一種能在高密度應(yīng)答下，有效提取單脈沖二次雷達(dá)(MSSR)應(yīng)答代碼，并對(duì)應(yīng)答代碼的置信度進(jìn)行實(shí)時(shí)標(biāo)注的算法。該算法不僅能夠一次完成對(duì)脈沖的應(yīng)答代碼提取與置信度標(biāo)注，并且能同時(shí)完成OVERLAP和DEFRUIT處理，保證在多應(yīng)答框架出現(xiàn)交疊時(shí)正確區(qū)分應(yīng)答和置信度判斷，為目標(biāo)的點(diǎn)跡處理提供有效報(bào)表。
- MSSR;應(yīng)答代碼提取;置信度標(biāo)注;實(shí)時(shí)處理
Abstract: This paper is about Monopulse Secondary Surveillance Redar (MSSR) reply decoding and confidence bits. A novel real-time arithmetic is presented in this paper which uses new rule of garble and overlap to process defruit and to extract reply code. The experimental results show that the new arithmetic can overcome the problem of multi-target reply-blend and get better reply decoding and confidence bits on the highly density reply occasion.