An efficient suboptimum detector based on linear prediction in Rayleigh flat-fading channels
It is well known that the optimum detector based on linear prediction, for frequency-nonselective (flat) fading channels, requires M P states for M-ary signalling, where P is the order of the prediction filter required to decorrelate the received signal. In this paper, we first derive a suboptimal l...
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| Veröffentlicht in: | Signal processing 2001-04, Vol.81 (4), p.819-828 |
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| container_title | Signal processing |
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| creator | Vasudevan, K. Giridhar, K. Ramamurthi, Bhaskar |
| description | It is well known that the optimum detector based on linear prediction, for frequency-nonselective (flat) fading channels, requires
M
P
states for M-ary signalling, where
P
is the order of the prediction filter required to decorrelate the received signal. In this paper, we first derive a suboptimal linear predictive-based (SLP) detector for M-ary PSK by making a high SNR assumption. We then demonstrate using the concept of isometry that for M-ary PSK signalling, only
M
P−1
states are required for this SLP detector. The complexity reduction is achieved with no loss in symbol-error-rate performance compared to the case where
M
P
states are used. As a corollary, we also show that for a first-order prediction filter and M-ary PSK signalling, the SLP detector is identical to the conventional differential detector. |
| doi_str_mv | 10.1016/S0165-1684(00)00250-4 |
| format | Article |
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M
P
states for M-ary signalling, where
P
is the order of the prediction filter required to decorrelate the received signal. In this paper, we first derive a suboptimal linear predictive-based (SLP) detector for M-ary PSK by making a high SNR assumption. We then demonstrate using the concept of isometry that for M-ary PSK signalling, only
M
P−1
states are required for this SLP detector. The complexity reduction is achieved with no loss in symbol-error-rate performance compared to the case where
M
P
states are used. As a corollary, we also show that for a first-order prediction filter and M-ary PSK signalling, the SLP detector is identical to the conventional differential detector.</description><identifier>ISSN: 0165-1684</identifier><identifier>EISSN: 1872-7557</identifier><identifier>DOI: 10.1016/S0165-1684(00)00250-4</identifier><identifier>CODEN: SPRODR</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Detection, estimation, filtering, equalization, prediction ; Exact sciences and technology ; Fading channels ; Information, signal and communications theory ; Isometry ; Linear prediction ; Maximum likelihood sequence estimation ; Signal and communications theory ; Signal, noise ; Telecommunications and information theory ; Viterbi algorithm</subject><ispartof>Signal processing, 2001-04, Vol.81 (4), p.819-828</ispartof><rights>2001 Elsevier Science B.V.</rights><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-ef39ded7b6f62d5bbf2ab3e8b5d8869defba3f05016290e35900d561db5d757e3</citedby><cites>FETCH-LOGICAL-c366t-ef39ded7b6f62d5bbf2ab3e8b5d8869defba3f05016290e35900d561db5d757e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165168400002504$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=958047$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Vasudevan, K.</creatorcontrib><creatorcontrib>Giridhar, K.</creatorcontrib><creatorcontrib>Ramamurthi, Bhaskar</creatorcontrib><title>An efficient suboptimum detector based on linear prediction in Rayleigh flat-fading channels</title><title>Signal processing</title><description>It is well known that the optimum detector based on linear prediction, for frequency-nonselective (flat) fading channels, requires
M
P
states for M-ary signalling, where
P
is the order of the prediction filter required to decorrelate the received signal. In this paper, we first derive a suboptimal linear predictive-based (SLP) detector for M-ary PSK by making a high SNR assumption. We then demonstrate using the concept of isometry that for M-ary PSK signalling, only
M
P−1
states are required for this SLP detector. The complexity reduction is achieved with no loss in symbol-error-rate performance compared to the case where
M
P
states are used. As a corollary, we also show that for a first-order prediction filter and M-ary PSK signalling, the SLP detector is identical to the conventional differential detector.</description><subject>Applied sciences</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Fading channels</subject><subject>Information, signal and communications theory</subject><subject>Isometry</subject><subject>Linear prediction</subject><subject>Maximum likelihood sequence estimation</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><subject>Viterbi algorithm</subject><issn>0165-1684</issn><issn>1872-7557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEQgIMoWKs_QQgIoofVyW6T3T1JKb6gIPi4CSGbTNrINluTrdB_b9pKr15mYOabGeYj5JzBDQMmbt9S4BkT1egK4Bog55CNDsiAVWWelZyXh2SwR47JSYxfAMAKAQPyOfYUrXXaoe9pXDXdsneL1YIa7FH3XaCNimho52nrPKpAlwGN071LFefpq1q36GZzalvVZ1YZ52dUz5X32MZTcmRVG_HsLw_Jx8P9--Qpm748Pk_G00wXQvQZ2qI2aMpGWJEb3jQ2V02BVcNNVYnUso0qLPD0Q14DFrwGMFwwk4CSl1gMyeVu7zJ03yuMvVy4qLFtlcduFWUuqrxmpUgg34E6dDEGtHIZ3EKFtWQgNy7l1qXciJIAcutSjtLcxd8BFbVqbVBeu7gfrnkFozJRdzsqvY4_DoOMG606-QrJpTSd--fOL7ViiXI</recordid><startdate>20010401</startdate><enddate>20010401</enddate><creator>Vasudevan, K.</creator><creator>Giridhar, K.</creator><creator>Ramamurthi, Bhaskar</creator><general>Elsevier B.V</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20010401</creationdate><title>An efficient suboptimum detector based on linear prediction in Rayleigh flat-fading channels</title><author>Vasudevan, K. ; Giridhar, K. ; Ramamurthi, Bhaskar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-ef39ded7b6f62d5bbf2ab3e8b5d8869defba3f05016290e35900d561db5d757e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Applied sciences</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Exact sciences and technology</topic><topic>Fading channels</topic><topic>Information, signal and communications theory</topic><topic>Isometry</topic><topic>Linear prediction</topic><topic>Maximum likelihood sequence estimation</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><topic>Viterbi algorithm</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vasudevan, K.</creatorcontrib><creatorcontrib>Giridhar, K.</creatorcontrib><creatorcontrib>Ramamurthi, Bhaskar</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vasudevan, K.</au><au>Giridhar, K.</au><au>Ramamurthi, Bhaskar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An efficient suboptimum detector based on linear prediction in Rayleigh flat-fading channels</atitle><jtitle>Signal processing</jtitle><date>2001-04-01</date><risdate>2001</risdate><volume>81</volume><issue>4</issue><spage>819</spage><epage>828</epage><pages>819-828</pages><issn>0165-1684</issn><eissn>1872-7557</eissn><coden>SPRODR</coden><abstract>It is well known that the optimum detector based on linear prediction, for frequency-nonselective (flat) fading channels, requires
M
P
states for M-ary signalling, where
P
is the order of the prediction filter required to decorrelate the received signal. In this paper, we first derive a suboptimal linear predictive-based (SLP) detector for M-ary PSK by making a high SNR assumption. We then demonstrate using the concept of isometry that for M-ary PSK signalling, only
M
P−1
states are required for this SLP detector. The complexity reduction is achieved with no loss in symbol-error-rate performance compared to the case where
M
P
states are used. As a corollary, we also show that for a first-order prediction filter and M-ary PSK signalling, the SLP detector is identical to the conventional differential detector.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0165-1684(00)00250-4</doi><tpages>10</tpages></addata></record> |
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| ispartof | Signal processing, 2001-04, Vol.81 (4), p.819-828 |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Fading channels Information, signal and communications theory Isometry Linear prediction Maximum likelihood sequence estimation Signal and communications theory Signal, noise Telecommunications and information theory Viterbi algorithm |
| title | An efficient suboptimum detector based on linear prediction in Rayleigh flat-fading channels |
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