Pairwise joint probability propagation in BICM-ID
The iterative decoding of BICM is analyzed from an optimization point of view. The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be crit...
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description | The iterative decoding of BICM is analyzed from an optimization point of view. The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be critical for short blocks. In this contribution, it is proved that refined approximations can be obtained by propagating extrinsics on groups of bits. The particular case of pairwise joint probability propagation is investigated. Its computational complexity is similar to standard iterative decoding. Simulations show the favorable behavior of the proposed method. |
doi_str_mv | 10.1109/ISTC.2012.6325188 |
format | Conference Proceeding |
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The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be critical for short blocks. In this contribution, it is proved that refined approximations can be obtained by propagating extrinsics on groups of bits. The particular case of pairwise joint probability propagation is investigated. Its computational complexity is similar to standard iterative decoding. 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The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be critical for short blocks. In this contribution, it is proved that refined approximations can be obtained by propagating extrinsics on groups of bits. The particular case of pairwise joint probability propagation is investigated. Its computational complexity is similar to standard iterative decoding. Simulations show the favorable behavior of the proposed method.</description><subject>Approximation methods</subject><subject>Bit error rate</subject><subject>Iterative decoding</subject><subject>Joints</subject><subject>Linear programming</subject><subject>Maximum likelihood decoding</subject><subject>Optimization</subject><issn>2165-4700</issn><isbn>9781457721144</isbn><isbn>1457721147</isbn><isbn>1457721139</isbn><isbn>9781457721137</isbn><isbn>9781457721151</isbn><isbn>1457721155</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j91Kw0AUhFdUsK15APEmL7DpOXv291Jj1UBFwXpdNrorW2oSkoD07Y1Yr2YGhuEbxq4QCkRwy-p1UxYCUBSahEJrT9gcpTJGIJI7ZZkz9j9LecZmArXi0gBcsGwYdgBAaB1KmDF88an_TkPId21qxrzr29rXaZ_Gw6_v_KcfU9vkqclvq_KJV3eX7Dz6_RCyoy7Y2_1qUz7y9fNDVd6seUIiy6OUYH0dAGLt3uWEE4LWRFKAMxE9OlQCPyZSNBAJSIipBTpqDZMoWrDrv90UQth2ffry_WF7fEw_DGFECA</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Alberge, F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>Pairwise joint probability propagation in BICM-ID</title><author>Alberge, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1338-f4408abe00fb9c4457ee663342097f1a191521d781170f30322c4406f66040653</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Approximation methods</topic><topic>Bit error rate</topic><topic>Iterative decoding</topic><topic>Joints</topic><topic>Linear programming</topic><topic>Maximum likelihood decoding</topic><topic>Optimization</topic><toplevel>online_resources</toplevel><creatorcontrib>Alberge, F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alberge, F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Pairwise joint probability propagation in BICM-ID</atitle><btitle>2012 7th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)</btitle><stitle>ISTC</stitle><date>2012-08</date><risdate>2012</risdate><spage>6</spage><epage>10</epage><pages>6-10</pages><issn>2165-4700</issn><isbn>9781457721144</isbn><isbn>1457721147</isbn><eisbn>1457721139</eisbn><eisbn>9781457721137</eisbn><eisbn>9781457721151</eisbn><eisbn>1457721155</eisbn><abstract>The iterative decoding of BICM is analyzed from an optimization point of view. The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be critical for short blocks. In this contribution, it is proved that refined approximations can be obtained by propagating extrinsics on groups of bits. The particular case of pairwise joint probability propagation is investigated. Its computational complexity is similar to standard iterative decoding. Simulations show the favorable behavior of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/ISTC.2012.6325188</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Approximation methods Bit error rate Iterative decoding Joints Linear programming Maximum likelihood decoding Optimization |
title | Pairwise joint probability propagation in BICM-ID |
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