Systems and methods for data processing using global iteration result reuse
US-9274889-B2 · Mar 1, 2016 · US
US10003435B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10003435-B2 |
| Application number | US-201615361160-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 25, 2016 |
| Priority date | Nov 25, 2015 |
| Publication date | Jun 19, 2018 |
| Grant date | Jun 19, 2018 |
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A system, method and device for error detection/estimation in OFDM communications systems is proposed. The disclosed mechanism allows an efficient error prediction in a received packet, without having to perform full FEC decoding of the packet that could impair the overall latency of the system due to the time spent in a complete FEC decoding of the packet. In order to do that, it generates a decision variable with the aim to check whether a received packet has errors or not, after performing only partial FEC decoding of the packet, without either resorting to the use of error-detection codes.
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The invention claimed is: 1. A method for detecting errors in an information packet ( 13 ) received by an OFDM receiver ( 14 ) in an Orthogonal Frequency-Division Multiplexing, OFDM, system, where the information packet is encoded using a Forward Error Correction, FEC, technique, said FEC technique involves at the receiver an iterative decoding process, the method characterized by comprising the following steps performed at the receiver ( 14 ): a) performing a number of iterations, N iter , of the Forward Error Correction decoding technique on the received packet of length N FEC bits, where N iter is lower than the minimum number of iterations required for full FEC decoding at the intended signal to noise and interference ratio, SINR; b) obtaining a posteriori log-likelihood ratio, LLR, value for each decoded bit after N iter FEC decoding iterations; c) obtaining the block error probability for the block of decoded bits after N iter iterations, BLEP 0 Niter , and the probability density function of said block error probability, from said a posteriori LLR values; d) estimating a block error rate that would correspond to the received packet under full FEC decoding, based on post-detection Signal to Interference and Noise Ratios, SINR, of the received bits; e) obtaining a decision variable value for block error decisions, Z, as a function of the obtained block error probability BLEP 0 Niter and the probability density function of said block error probability; and f) determining whether the received packet has errors or not, by comparing said decision variable with a first threshold. 2. A method according to claim 1 , where the LLR values for the decoded bits after N iter FEC decoding iterations are defined as: L L R n Niter ≡ ln p ( x n = + 1 ❘ y ) p ( x n = - 1 ❘ y ) , n = 0 , … , N - 1 , where LLR n Niter denotes the a-posteriori log-likelihood ratio of the received n-th bit after N iter iterations, y denotes the decoded signal after N iter iterations, x n is the corresponding n-th transmitted bit, and N is defined by the expression N=r·N FEC , where r is the FEC encoding rate. 3. A method according to claim 1 , wherein the block error probability after N iter iterations, BLEP 0 Niter , is obtained by the expression: B L E P 0 Niter = 1 - ∏ n = 0 N - 1 ( 1 1 + e - L L R n Niter ) , where LLR n Niter is the log-likelihood ratio of the received n-th bit after N iter iterations, and N is defined by the expression N=r·N FEC , where r is the FEC encoding rate. 4. A method according to claim 1 , wherein the probability density function of said block error probability after N iter iterations, BLEP Niter , is calculated as a function of the probability density function of the LLR values, LLR n Niter , by using the following transformation: ln ( 1 - B
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