Noncoherent receivers are favored for UWB-IR systems because of their low implementation complexity compared with coherent correlation receivers. However, existing noncoherent schemes, such as transmitted reference (T...
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Noncoherent receivers are favored for UWB-IR systems because of their low implementation complexity compared with coherent correlation receivers. However, existing noncoherent schemes, such as transmitted reference (TR) systems and frame-level differential receivers (FDR), suffer from performance degradation and energy efficiency loss. We propose to use block-coded modulation and develop a novel energy detection-based noncoherent reception scheme for UWB-IR systems. Our scheme is capable of effective noise/interference mitigation without loss of energy efficiency and data rate. Performance evaluation shows that even in the presence of strong inter-frame interference and multiuser interference, our scheme is robust.
This paper describes how block-coded modulation (BCM) and multiple BCM (MBCM) with Viterbi decoding can be designed for use in Rayleigh fading and severe Rician fading channels. New codes are developed by modifying kn...
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This paper describes how block-coded modulation (BCM) and multiple BCM (MBCM) with Viterbi decoding can be designed for use in Rayleigh fading and severe Rician fading channels. New codes are developed by modifying known codes to increase the minimum symbol distance, which is one of the distances that have a strong effect on the bit error rate (BER) performance under fading channels. Combined with anti-fading techniques such as fading compensation, interleaving, and branch weighting, the new codes significantly improve BER performance. Computer simulations were used to confirm the code performance.
This paper examines the performance gains achievable by adding interblock memory to, and altering the mapping of coded bits to symbols in, block-coded modulation systems, The channel noise considered is additive Gauss...
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This paper examines the performance gains achievable by adding interblock memory to, and altering the mapping of coded bits to symbols in, block-coded modulation systems, The channel noise considered is additive Gaussian, and the twin design goals are to maximize the asymptotic coding gain and to minimize the number of apparent nearest neighbors. In the case of the additive white Gaussian noise channel, these goals translate into the design of block codes of a given weighted or 'normalized' distance whose rate is as high as possible, and whose number of codewords at minimum normalized distance is low The effect of designing codes for normalized distance rather than Hamming distance is to ease the problem of determining the best codes for given parameters in the cases of greatest interest, and many such best codes are given.
block-coded modulation with interblock memory (BCMIM) is a variation of block-coded modulation (BCM) which is designed for multilevel coding, By providing interblock memory between adjacent blocks, the coding rate of ...
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block-coded modulation with interblock memory (BCMIM) is a variation of block-coded modulation (BCM) which is designed for multilevel coding, By providing interblock memory between adjacent blocks, the coding rate of a BCMIM scheme can be increased without decreasing the minimum squared Euclidean distance (MSED) as compared to the original BCM, In an early version of BCMIM, interblock coding is provided only between the first two coding levels of adjacent blocks, In this paper, we design BCMIM with a more general form for which interblock coding ran be introduced among many coding levels, In this way, we can further increase the coding rate of BCMIM without decreasing the MSED, We provide many examples to show the advantages of BCMIM with the general form, Most of the examples are designed based on multidimensional signal sets, since a multidimensional signal set can provide more coding levels than a two-dimensional (2-D) signal set.
The design and performance of a class of practical rate 2/3, 8-PSK block-coded modulation (BCM) (also referred to as multilevel modulation codes) schemes are presented. These BCM schemes utilise both convolutional cod...
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The design and performance of a class of practical rate 2/3, 8-PSK block-coded modulation (BCM) (also referred to as multilevel modulation codes) schemes are presented. These BCM schemes utilise both convolutional codes and block codes, and have block lengths that are matched with relatively short packet lengths to satisfy requirements in packet-wireless networks. Decoding issues such as optimum signal metrics and soft-decision decoding of block codes are addressed. Performance is evaluated and simulated. It is found that these BCM schemes exhibit a coding gain comparable to 16, 32 and 64 state Ungerboeck TCM codes, but require less complexity to decode.
Recently, an energy efficient noncoherent receiver scheme, called codeword matching and signal aggregation (CMSA), has been proposed for ultra-wideband (UWB) communications. However, its optimality and analytical erro...
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Recently, an energy efficient noncoherent receiver scheme, called codeword matching and signal aggregation (CMSA), has been proposed for ultra-wideband (UWB) communications. However, its optimality and analytical error performance have not been studied. This letter shows the CMSA receiver is the optimal receiver in the sense of generalized likelihood ratio test (GLRT) and presents closed-form upper bound expression for bit error probability (BEP).
It is shown that soft maximum-likelihood decoding for block-coded modulation (BCM) can be performed using the code tree. It is easy to generate the code tree for any type of block code, linear as well as nonlinear. A ...
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It is shown that soft maximum-likelihood decoding for block-coded modulation (BCM) can be performed using the code tree. It is easy to generate the code tree for any type of block code, linear as well as nonlinear. A reduce tree is obtained from the code tree. The trellis for a block code can be obtained from the reduced tree. Using this structure to perform computations in parallel, a scheme is proposed for the implementation of the soft decoder. Back tracking, necessary in a soft decoder using the Viterbi algorithm on a trellis, is eliminated.
Channel codes where the redundancy is obtained not from parity symbols, but from expanding the channel signal-set, are dealt with. They were initially proposed by Ungerboeck using a convolutional code. Here, a block c...
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Channel codes where the redundancy is obtained not from parity symbols, but from expanding the channel signal-set, are dealt with. They were initially proposed by Ungerboeck using a convolutional code. Here, a block coding approach is given. Rate m/(m + 1) coded 2m + 1-ary PSK is considered. The expanded signal-set is given the structure of a finite field. The code is defined by a square nonsingular circulant generator matrix over the field. Binary data is mapped on a dataword, of the same length as the codewords, over an additive subgroup of the field. The codes using trellises are described, and then the Viterbi algorithm for decoding is applied. The asymptotic coding gain ranges from 1.8 to 6.0 dB for QPSK going from blocklength 3 to 12. For 8-PSK, the gain is from 0.7 to 3.0 dB with blocklength 4 to 8. With only four states in the trellis, codes of any length for QPSK and 8-PSK are constructed, each having an asymptotic coding gain of 3.0 dB. Simulation results are presented. It is found that the bit-error rate performance at moderate signal-to-noise ratios is sensitive to the number of nearest and next-nearest neighbors.
A novel noncoherent block coding scheme, called noncoherent block-coded MPSK (NBC-MPSK), was proposed recently. In this paper, we present further research results on NBC-MPSK. We first focus on the rotational invarian...
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A novel noncoherent block coding scheme, called noncoherent block-coded MPSK (NBC-MPSK), was proposed recently. In this paper, we present further research results on NBC-MPSK. We first focus on the rotational invariance (RI) of NBC-MPSK. Based on the RI property of NBC-MPSK with multistage decoding, a noncoherent near-optimal linear-complexity multistage decoder for NB,C-MPSK is proposed. Then we investigate a tree-search ML decoding algorithm for NBC-MPSK. The derived algorithm is shown to have low complexity and excellent error performance. In this paper, we also utilize the idea of the NBC-MPSK to design noncoherent space-time block codes, called noncoherent space-time block-coded MPSK (NSTBC-MPSK). For two transmit antennas, we propose a signal set with set partitioning and derive the minimum noncohent distance of NSTBC-MPSK with this signal set. For the decoding of NSTBC-MPSK, we modify the NIL decoding algorithm of NBC-MPSK and propose an iterative hard-decision decoding algorithm. Compared with training codes and unitary space-time modulation, NBC-MPSK and NSTBC-MPSK have larger minimum noncoherent distance and thus better error performance for the noncoherent NIL decoder.
For coherent detection, block-coded modulation is a bandwidth efficient scheme. In this paper, we propose theorems about the error performance of block-coded modulation using M-ary phase-shift keying (MPSK) for noncoh...
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For coherent detection, block-coded modulation is a bandwidth efficient scheme. In this paper, we propose theorems about the error performance of block-coded modulation using M-ary phase-shift keying (MPSK) for noncoherent detection. Based on these theorems, we propose a novel block-coded modulation scheme for noncoherent detection called noncoherent block-coded MPSK. The proposed scheme provides flexible designs of noncoherent block codes with different code rate, block length and error performance. Good noncoherent block codes can be easily obtained by properly choosing binary linear block codes as the component codes. Moreover, noncoherent block codes of this new scheme can be decoded by multistage decoding, which has the advantage of low complexity and satisfactory error performance. In this paper, two algorithms of multistage decoding for noncoherent detection are proposed as well. The error performance of some designed codes and decoding algorithms is verified by computer simulation.
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